Miracle-dz/UniFAR-FTUs huggingface dataset:
Resource Management and Scheduling

This chapter introduces basic concepts related to the management of cloud computing. This is followed by a discussion on the types of applications that can be allocated to cloud resources, as well as formalization of the cloud system and a description of the problems of both application scheduling and virtual machine (VM) allocation. Cloud computing can be classified according to access policy. Cloud types include: public cloud, private cloud and hybrid cloud. VM allocation is of paramount importance for the best utilization of physical machines. This allocation must comply with the provider objectives as well as fulfilling quality of service (QoS) requirements specified in the service-level agreements (SLAs). Cloud computing resource management can be partially handled by adapting techniques developed for other distributed systems such as grids and clusters. The chapter discusses some of the challenges and perspectives during cloud computing management for the next few years.
Using Domain Ontology to Classify a Song

Nowadays, the musical resources available on the web increase exponentially. In this huge repository of musical data, current music information search and indexing systems do not allow users to return the songs that correspond to their needs expressed by a query due to the used indexing techniques. To improve the relevance of the music information search, we propose in this paper firstly an approach based on the use of domain ontology to index a collection of songs and the use of semantic links in order to allow the inference of all relevant songs. In addition, we propose a query refinement algorithm to find songs. This approach is tested and validated in the domain of Algerian songs in the context of the semantic web. A web application is developed to index the songs by concepts, perform a conceptual search of songs and exploit concepts / terms links and semantic relationships that structure the ontology.
Local Binary Patterns for Gender Classification

Several approaches for gender of handwriting are proposed an appearance feature-based approach. In this paper we present a comparative study to evaluate effectiveness of different Local Binary Patterns methodologies in characterizing gender from handwriting. We investigate different local binary patterns (LBP) parameters with/without preprocessing step based on low-pass filtering as features to represent handwriting images. Features extracted from male and female writings are used to train an SVM. The system is evaluated on the standard QUWI database depending competitions of ICFHR 2016 of handwriting images and realizes promising classification rates.
Transaction Utility Perspective of Customer Satisfaction towards M-Commerce in Taiwan

This study explores the issues affecting customer satisfaction towards m-commerce in Taiwan. Given the rapid changes in the m-commerce industry in Taiwan, and that extant literature on customer satisfaction towards m-commerce is mostly based on data outside Taiwan, an information-rich and robust two-stage mixed method study was adopted. The first stage involves two nominal group technique sessions where resultant data became the basis of questionnaire survey in stage two. Results from 237 surveys indicate that Taiwan shoppers expect convenience, relevant information, and simplify taxes when performing cross-border shopping via m-commerce. Taiwanese customers expect expedient delivery of purchases make through m-commerce. Respondents are moderately satisfied and pleased with their m-commerce experience. Issues affecting customer satisfaction towards m-commerce in Taiwan include: complex websites, intrusive advertisements, poor consolidation of logistics where different vendors in same m-commerce platform charged logistic costs separately, and un-standardized pricing for same product/brand in same m-commerce platform. There is a demand for major online shopping platform like Amazon in Taiwan who currently did not shipped to Taiwan. The findings in this study would appeal to m-tailers in Taiwan.
An Inertial Navigation Pre-integration Algorithm Based on Multi-Sensor Fusion for Indoor Mobile Robot Positioning

Accurate position estimation is a key technology for mobile robots to reflect intelligence. It has very important research value and significance. In order to solve the problems of large error, low precision and error accumulation over time of the current algorithm, this paper proposes an inertial navigation pre-integration algorithm integrating multiple sensors, and estimates the initial visual scale s with the loose-coupling algorithm. Aiming at the low positioning accuracy of the loose-coupling algorithm, a tight coupling algorithm based on multi-sensor fusion is proposed, and the system model and observation model are delivered. Finally, the establishment of the Create2 experimental platform and the corresponding software design, and then the positioning and contrast experiments on different material surfaces, the comparison of positioning accuracy in indoor small scenes and large scenes, and the optimization of VISLAM system for tight coupling algorithms based on multi-sensor fusion The comparison experiment is carried out to verify the robustness and feasibility of the algorithm, and to test the positioning accuracy of the actual application scenario of the mobile robot.
Smart Ecotourism Planning in Chiang Mai using Traveling Salesman Problem

A well-planned vacation can bring every visitor not only higher enjoyment of his or her trip but allows to maximize efficiently spent time within the budget constraints. This research proposes the suggested routes for ecotourism destinations in Chiang Mai, Thailand by using the traveling salesman problem (TSP) method. Chiang Mai has been noticed as the destination of ecotourism because of a rich and beautiful natural resources. It is convenient for tourists to have a web-based platform providing all updated destinations and suggested plan about ecotourism. As a pilot study, the most popular ten ecotourism destinations were collected from the secondary data observation. The study is applied the advantages of TSP technique to the tourism context in order to create the optimal travel plans under the different time constrains. Then web-based programming show the created trip plan and travel itinerary available for all tourists to download.
Basic Sketch Learning Environment with Adaptive Advice

Support to make a picture is one of important research subjects in order to make our life spiritually rich. Most studies on pictures, however, only propose some substitute functions of actual materials for drawing and painting. There is no system that evaluates images made by novices and gives advice. We have been proposing a support system for basic sketch learning. The proposed system deals with novices’ pencil drawings. The system receives a subject (motif) data set and an image of user’s sketch and returns advice to the user. We developed and experimented with a prototype system. As a result, the validity of the proposed system was confirmed.
A Survey of Real-Time Operating Systems and Virtualization Solutions for Space Systems

Abstract : The Department of Defense and the intelligence community rely on space systems for a broad spectrum of services. These systems operate in highly constrained environments (in terms of space, weight and power), making virtualization and resource sharing a desirable approach. Agencies are actively exploring new architectures, such as those employing virtualization, to support their growing space mission. In this thesis, we review how virtualization architectures claim to support the real-time requirements of their guests. We survey real-time systems and virtualization architectures proposed for use in space systems. Further, we investigate the behaviors of virtualized operating systems using a method of remote network-based fingerprinting with TCP timestamps. Our work provides insights into how guests, both general purpose and real-time, behave in virtualized environments. Our survey work and experimental analysis aim to further understanding of how virtualization can be securely incorporated into space systems.
Applying Discourse Semantics and Pragmatics to Co-reference in Picture Sequences

This paper looks at co-indexing in pictorial narratives such as comics. Using aformal-semantic model of the content of pictures, it is argued that depicted objects are existentially quantified, and are identified post-semantically. A DRT model for pictorial narratives is proposed where discourse referents are constructed as areas of a picture.
Unification in a l-calculus with intersection types

We propose related algorithms for unification and constraint simplification in λ→&, a refinement of the simply-typed λ-calculus with subtypes and bounded intersection types. λ→& is intended as the basis of a logical framework in order to achieve more succinct and declarative axiomatizations of deductive systems than possible with the simply-typed λ-calculus. The unification and constraint simplification algorithms described here lay the groundwork for a mechanization of such frameworks as constraint logic programming languages and theorem provers.
Efficiency of the Addressees Contribution To the Establishment of References - Comparing Monologues With Dialogs

According to Clark and Wilkes-Gibbs' collaborative model of reference, the repetition of a referential communication task produces changes in how references are established (decreasing the number of words and speaking turns, and increasing the number of definite references and labels), and these changes should be seen as the development of a process of collaboration aimed at mutual understanding at the lowest possible cost. According to this model, the utterances of a speaker who has been asked to make references without feedback from an addressee, and is therefore unable to collaborate with an audience to establish a referential common ground, should not evolve in the same way as they would in a referential dialogue. More precisely, no significant decrease in the number of words uttered should be observed, and there should be no increase in the use of definite references and referential labels after the first trial. To test the predictions of the collaborative model of reference, while also assessing the actual importance of collaboration in the referential process, a modified version of the experiment carried out by Krauss and Weinheimer (1967) was used: groups of subjects with (''Dialogue'' condition) and without (''Monologue'' condition) listeners were compared for the same repeated referential-communication task. The prediction of the collaborative model of reference was confirmed by the overall results. However, the great differences between the subjects in the ''Monologue'' condition led us to qualify the conclusions drawn: despite the lack of collaboration, half of the subjects in the ''Monologue'' condition used verbal strategies comparable with those used by the speakers in the ''Dialogue'' condition.
Metaphorical language in second language learners' essays: Products and processes

This two-phase project investigated metaphorical language use in second language learners’ essays from both perspectives of products and processes. The first phase relied on text analysis to examine the patterns of metaphorical language use in 396 undergraduate essays at four different year levels, focusing on the metaphoricity and the phraseology of their metaphorical language. The study has shown that there were differences in metaphorical language use at different year levels. Metaphorical language use was also found to correlate with writing grades. Conventional metaphorical language use, in particular, significantly explained writing grades. The second phase explored the learners’ thoughts behind their written production of metaphorical language using data from computer-logged keystrokes and stimulated retrospective interviews. It was found that there was a relationship between the locations and durations of the pauses and the metaphoricity and phraseology of the metaphorical language the participants produced. The study has shown that learners had low awareness of the metaphorical nature of the language they used, and that the underlying thoughts behind their metaphorical language use involved more non-metaphoric than metaphoric thinking. The project has added new knowledge to current scholarship of metaphor in second language learning and has significant implications for the teaching of L2 vocabulary and writing.
Principles of distributed database systems (2nd ed.)

Downloading the book in this website lists can give you more advantages. It will show you the best book collections and completed collections. So many books can be found in this website. So, this is not only this principles of distributed database systems 2nd edition. However, this book is referred to read because it is an inspiring book to give you more chance to get experiences and also thoughts. This is simple, read the soft file of the book and you get it.
A framework to create video-transition effects

The paper presents a framework for developing a variety of video transition effects. The framework is designed to deal with the problem of inefficiency for programmers to generate more and more diversified video transition, which is caused by excessive coupling between the sub-modules of the system. So the framework is designed to be modular, flexible and extensible. Based on the analysis of common features of different effects, the implementation of video transition effect is divided into 4 sub-modules, each of which can be designed and developed independently. Furthermore, these sub-modules can be easily substituted, modified and reused. We present a formal description of our framework, and give typical study cases to show the extensive utility of the framework.
Cognitive Linguistics: An Introduction

A general introduction to the area of theoretical linguistics known as cognitive linguistics, this textbook provides up-to-date coverage of all areas of the field, including recent developments within cognitive semantics (such as Primary Metaphor Theory, Conceptual Blending Theory, and Principled Polysemy), and cognitive approaches to grammar (such as Radical Construction Grammar and Embodied Construction Grammar). The authors offer clear critical evaluations of competing formal approaches within theoretical linguistics. For example, cognitive linguistics is compared to Generative Grammar and Relevance Theory. In the selection of material and in the presentations the authors have aimed for a balanced perspective. Part II, Cognitive Semantics, and Part III, Cognitive Approaches to Grammar, have been created to be read independently. The authors have kept in mind that different instructors and readers will need to use the book in different ways tailored to their own goals. The coverage is suitable for a number of courses. While all topics are presented in terms accessible to both undergraduate and graduate students of linguistics, cognitive linguistics, psycholinguistics, cognitive science, and modern languages, this work is sufficiently comprehensive and detailed to serve as a reference work for scholars who wish to gain a better understanding of cognitive linguistics.
Framing Human-Robot Task Communication as a Partially Observable Markov Decision Process

As general purpose robots become more capable, pre-programming of all tasks at the factory will become less practical. We would like for non-technical human owners to be able to communicate, through interaction with their robot, the details of a new task; I call this interaction “task communication”. During task communication the robot must infer the details of the task from unstructured human signals, and it must choose actions that facilitate this inference. In this dissertation I propose the use of a partially observable Markov decision process (POMDP) for representing the task communication problem; with the unobservable task details and unobservable intentions of the human teacher captured in the state, with all signals from the human represented as observations, and with the cost function chosen to penalize uncertainty. This dissertation presents the framework, works through an example of framing task communication as a POMDP, and presents results from a user experiment where subjects communicated a task to a POMDP-controlled virtual robot and to a humancontrolled virtual robot. The task communicated in the experiment consisted of a single object movement and the communication in the experiment was limited to binary approval signals from the teacher.
9.1.1 Semantic Platforms for Cyber‐Physical Systems

This paper describes the development of semantic platforms to support the modeling, architectural design, realization, and operation of cyber‐physical systems. Platform architectures work directly with formal models of domain knowledge (not just raw data) that are determinate, provable (ambiguity free), executable, and with semantic parameters and rule engines that reason with physical quantities and across domains. These concepts are exercised in a case study application: the “decision‐dilemma problem” for traffic systems.
Two-stage wireless capsule image compression with low complexity and high quality

Proposed is a two-stage image compression method for wireless capsule endoscopy images to provide high compression rate and high image quality. The first stage, implemented inside the wireless capsule, contains a very low complexity integer transform followed by an optimised quantisation and Huffman encoding. The second stage is a simple post-processing for high subjective visual quality of the reconstructed image, which is applied outside the capsule. The compression method can provide not only high compression rate (86%) and high image quality (39.2 dB), but also low computation complexity.
Control of terminal robot using schema theory

In the next generation of home information system, a powerful computer system with a home network will be widely introduced. To assist the every generation of peoples in such a home information system, the friendly and intelligent man-machine communication system should be introduced. In this article, the conceptual configurations of the next generation home information system are introduced. Researches about some of the important components in the system are explained. Finally, the robotic terminal which employs the control system using schema theory, is described. The schema is a small control program which performs a simple limited task. A group of these schemes is able to execute the desired job. The multi-schema control structure enables the system to be gradually developed and to maintain the system safety when some elements of the system have failed.
International Journal of Advanced Robotic Systems Gender Classification by Fuzzy Inference System Regular Paper

which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract Gender classification from face images has many applications and is thus an important research topic. This paper presents an approach to gender classification based on shape and texture information gathered to design a fuzzy decision making system. Beside face shape features, Zernik moments are applied as system inputs to improve the system output which is considered as the probability of being male face image. After parameters tuning of the proposed fuzzy decision making system, 85.05% classification rate on the FERET face database (including 1199 individuals from different poses and facial expressions) shows acceptable results compare to other methods.
A new lumped model for on-chip inductors including substrate currents

A new lumped model for on-chip planar (square, hexagonal, octagonal) inductors is presented. The model is simple, it is based on linear passive components with frequency independent parameters and accurately accounts for the substrate leakage currents in a wide frequency range. Furthermore, the model is straightforwardly implementable in circuit simulators such as, for example, SPICE.
3D object recognition using perceptual components

We propose a representation for appearance-based 3D object recognition. Each 3D object is represented by the spectral histogram of 2D images at different conditions. The spectral histogram encodes implicitly all the images that are perceptually similar and thus each spectral histogram is called a perceptual component. Given a novel 2D image, the perceptual components of objects are used to determine if the target object is present and which one. Component pruning and filter selection, are studied. This representation is applied to the COIL-100 dataset and the experiment results are presented. Comparisons with other methods are also presented.
Impact of the antenna set-up and arrays on mobile radio systems

This paper outlines the impact of the antenna set-up and antenna array configurations on mobile radio system at millimetre-wave frequencies. Simulations in typical indoor environments using directive antennas have shown a significant reduction in the channel time dispersion and in power requirements. Also in a typical city street, specially when some objects (cars, buses, etc.) are present, it gives significant performance improvements when compared with an omnidirectional antenna. The significant reduction of channel time dispersion achieved with directional antennas, associated to the fact that a mobile terminal must be able to communicate in any direction, indicates that the best performance of a broadband system is obtained with either switchable beams or antenna arrays. The propagation channel is modelled with a ray tracing tool that takes into account the propagation environment and the antennas used.
Single-case and Small-n Experimental Designs : A Practical Guide To Randomization Tests

Contents: Preface. Data Analysis in Single-Case and Small-n Experiments. Statistical and Visual Analysis. Approaches to Statistical Inference. Principles of Randomization Tests. Randomization Designs for Single-Case and Small-n Studies. Randomization Tests Using Minitab. Randomization Tests Using Excel. Randomization Tests Using SPSS. Other Sources of Randomization Tests. The Use of Randomization Tests With Nonrandomized Designs. The Power of Randomization Tests. Creating Your Own Randomization Tests.
Error detecting and error correcting codes

The author was led to the study given in this paper from a consideration of large scale computing machines in which a large number of operations must be performed without a single error in the end result. This problem of “doing things right” on a large scale is not essentially new; in a telephone central office, for example, a very large number of operations are performed while the errors leading to wrong numbers are kept well under control, though they have not been completely eliminated. This has been achieved, in part, through the use of self-checking circuits. The occasional failure that escapes routine checking is still detected by the customer and will, if it persists, result in customer complaint, while if it is transient it will produce only occasional wrong numbers. At the same time the rest of the central office functions satisfactorily. In a digital computer, on the other hand, a single failure usually means the complete failure, in the sense that if it is detected no more computing can be done until the failure is located and corrected, while if it escapes detection then it invalidates all subsequent operations of the machine. Put in other words, in a telephone central office there are a number of parallel paths which are more or less independent of each other; in a digital machine there is usually a single long path which passes through the same piece of equipment many, many times before the answer is obtained.