Miracle-dz/UniFAR-FTUs huggingface dataset:
Admission Control in Self Aware Networks

The worldwide growth in broadband access and multimedia traffic has led to an increasing need for Quality- of-Service (QoS) in networks. Real time network applications require a stable, reliable, and predictable network that will guarantee packet delivery under QoS constraints. Network self- awareness through on-line measurement and adaptivity in re- sponse to user needs is one way to advance user QoS when overall network conditions can change, while admission control (AC) is an approach that has been commonly used to reduce traffic congestion and to satisfy users' QoS requests. The purpose of this paper is to describe a novel measurement-based admission control algorithm which bases its decision on different QoS metrics that users can specify. The self-observation and self- awareness capabilities of the network are exploited to collect data that allows an AC algorithm to decide whether to admit users based on their QoS needs, and the QoS impact they will have on other users. The approach we propose finds whether feasible paths exist for the projected incoming traffic, and estimates the impact that the newly accepted traffic will have on the QoS of pre-existing connections. The AC decision is then taken based on the outcome of this analysis.
Collins COBUILD Business Vocabulary in Practice

The new 2nd edition of the Collins COBUILD Business Vocabulary in Practice equips learners with the language they need for the world of business in the 21st century. Suitable for intermediate to advanced learners of English, Collins COBUILD Business Vocabulary in Practice provides comprehensive coverage of today's business vocabulary in a clear, easy-to-use format. The text has been illustrated with thousands of examples of real English from the Bank of English, to help students write, speak, and understand English better. The user-friendly format, with definitions on the left-hand pages and related practice exercises on the right-hand pages, together with a Materials Bank containing hundreds of additional exercises, gives students the opportunity to gain a better understanding of the English language in the field of business and commerce. Collins COBUILD Business Vocabulary in Practice is an indispensable reference tool for learners of English studying business in today's world.
The devil you know knows best: how online recommendations can benefit from social networking

The defining characteristic of the Internet today is an abundance of information and choice. Recommender Systems (RS), designed to alleviate this problem, have so far not been very successful, and recent research suggests that this is due to the lack of the social context and inter-personal trust. We simulated an online film RS with 60 participants, where recommender information was added to the recommendations, and a subset of these were attributed to friends of the participants. Participants overwhelmingly preferred recommendations from familiar recommenders with whom they shared interests and a high rating overlap. When recommenders were familiar, rating overlap was the most important decision factor, whereas when they were unfamiliar, the combination of profile similarity and rating overlap was important. We recommend that RS and social networking functionality should be integrated, and show how RS functionality can be added to an existing social networking system by visualising profile similarity.
Theoretical Foundations of Digital Imaging using MATLAB

With the ubiquitous use of digital imaging, a new profession has emerged: imaging engineering. Designed for newcomers to imaging science and engineering, Theoretical Foundations of Digital Imaging Using MATLAB treats the theory of digital imaging as a specific branch of science. It covers the subject in its entirety, from image formation to image perfecting. Based on the authors 50 years of working and teaching in the field, the text first addresses the problem of converting images into digital signals that can be stored, transmitted, and processed on digital computers. It then explains how to adequately represent image transformations on computers. After presenting several examples of computational imaging, including numerical reconstruction of holograms and virtual image formation through computer-generated display holograms, the author introduces methods for image perfect resampling and building continuous image models. He also examines the fundamental problem of the optimal estimation of image parameters, such as how to localize targets in images. The book concludes with a comprehensive discussion of linear and nonlinear filtering methods for image perfecting and enhancement. Helping you master digital imaging, this book presents a unified theoretical basis for understanding and designing methods of imaging and image processing. To facilitate a deeper understanding of the major results, it offers a number of exercises supported by MATLAB programs, with the code available at www.crcpress. com.
A simplified way of measuring sense of coherence. Experiences from a population survey in Sweden

Antonovsky's concept sense of coherence (SOC) has gained much attention during the last few years as an important factor in the understanding of social factors behind health and illness. The questionnaire developed to measure SOC may, however, for practical reasons be difficult to use. In a recently conducted population survey in Sweden, we were faced with the problem of incorporating the ideas behind SOC without being able to include the 29-item instrument. Instead, 3 questions were constructed in order to capture each of the 3 dimensions included in SOC, namely manageability, meaningfulness and comprehensibillity. In this research note we present our simplified version of SOC and the properties of the measure obtained. We conclude that the simplified measure we have suggested might be a useful substitute for the original scale, especially In cases where information on SOC would otherwise have been totally omitted.
The Diffie-Hellman Authentication Test in the Strand-Space Mode

To reduce the computational complexity of the protocol, a transformed method of Diffie-Hellman key exchange scheme is used as an authentication test in some protocols. The paper proposes a way in which protocols that use the transformed method can be verified by using strand space model. First, the adversary's behavior is extended, and the three concepts of transformed edge, transforming edge and test component for strand space are redefined. Then, strand space terminology is used to define an authentication test that is guaranteed by the Diffie-Hellman problem. The applicability and usefulness of this authentication test are demonstrated by analyzing a sample protocol. Furthermore, the unknown key share attack, which takes this protocol as an aim, is given in this paper, and it has not been found by the others. Eventually, an improved method is proposed which can remedy the fault.
The Data Cyclotron query processing scheme

Distributed database systems exploit static workload characteristics to steer data fragmentation and data allocation schemes. However, the grand challenge of distributed query processing is to come up with a self-organizing architecture, which exploits all resources to manage the hot data set, minimize query response time, and maximize throughput without global co-ordination. In this paper, we introduce the Data Cyclotron architecture which addresses the challenges using turbulent data movement through a storage ring built from distributed main memory capitalizing modern remote-DMA facilities. Queries assigned to individual nodes interact with the Data Cyclotron by picking up data fragments continuously flowing around, i.e., the hot set. Each data fragment carries a level of interest (LOI) metric, which represents the cumulative query interest as the fragment passes around the ring multiple times. A fragment with a LOI below a given threshold, inversely proportional to the ring load, is pulled out to free up resources. This threshold is dynamically adjusted in a distributed manor based on ring characteristics and query needs. It optimizes the resource utilization keeping the average data access delay low. The proposed architecture has a modest impact on existing query execution engines. This is illustrated using an extensive validated simulation study for the Data Cyclotron protocols. The results underpin their robustness in turbulent workload scenarios as well as in the TPC-H scenario. Furthermore, we think that using state-of-the-art network technology, e.g., RDMA, could lead to even more promising results. The Data Cyclotron architecture opens a new vista for modern distributed database architectures with a plethora of research challenges barely scratched upon.
REL: A Fault Tolerance Linguistic Structure for Distributed Applications

The embedding of fault tolerance provisions into the application layer of a programming language is a non-trivial task that has not found a satisfactory solution yet. Such a solution is very important, and the lack of a simple, coherent and effective structuring technique for fault tolerance has been termed by researchers in this field as the “software bottleneck of system development”. The aim of this paper is to report on the current status of a novel fault tolerance linguistic structure for distributed applications characterized by soft real-time requirements. A compliant prototype architecture is also described. The key aspect of this structure is that it allows to decompose the target fault-tolerant application into three distinct components, respectively responsible for (1) the functional service, (2) the management of the fault tolerance provisions, and (3) the adaptation to the current environmental conditions. The paper also briefly mentions a few case studies and preliminary results obtained exercising the prototype.
Design of central pattern generator for humanoid robot walking based on multi-objective GA

Recently, the field of humanoid robotics attracts more and more interest and the research on humanoid locomotion based on central pattern generators (CPG) reveals many challenging aspects. This paper describes the design of CPG for stable humanoid bipedal locomotion using an evolutionary approach. In this research, each joint of the humanoid is driven by a neuron that consists of two coupled neural oscillators, and corresponding joint's neurons are connected by strength weight. To achieve natural and robust walking pattern, an evolutionary-based multi-objective optimization algorithm is used to solve the weight optimization problem. The fitness functions are formulated based on zero moment point (ZMP), global attitude of the robot and the walking speed. In the algorithms, real value coding and tournament selection are applied, the crossover and mutation operators are chosen as heuristic crossover and boundary mutation respectively. Following evolving, the robot is able to walking in the given environment and a simulation shows the result.
Research of Positioning of Minimally Invasive Surgery Robot Based on Monocular Vision

The system structure and operation process of the minimally invasive surgery robot based on vision location technology are expounded. The three- dimensional location problem of robotpsilas hand-eyes vision system is lucubrated, whose core idea is directly putting the image coordinate mapped into the robotpsilas radical coordinate and getting the system parameter as a whole and not separately calculating every parameter of camera inner. According to the basic principal of three-dimensional vision, the there-dimensional vision model and camera calibrating model are set up and the vision location system of the minimally invasive surgery robot is designed. The experiment proves that the method has a better location effect and analyzes the reason of causing the error.
A Mandatory Access Control Model with Enhanced Flexibility

The discretionary access control and mandatory access control are two main access control modes which are broadly used in secure operating systems. Discretionary access control is based on user identity and/or groups and mandatory access control is usually based on sensitivity labels. Neither of these two modes can completely satisfy the requirements of all access control. Discretionary access control is too loose to restrict the propagation of privileges while mandatory access control is too rigid to use flexibly. Researchers usually combine two modes by confining discretionary access control in mandatory access control scope such as bell-lapadula model. This brings low flexibility of access control. This paper discusses some examples which can't be handled by traditional mandatory access control based on bell-lapadula model and proposes a new method to integrate the flexibility of discretionary access control with security of mandatory access control. Meanwhile, an exception is defined to enhance the flexibility of the model. The security of the model is analyzed and compared with other relative works.
The Option Value of Modularity in Design: An Example From Design Rules, Volume 1: The Power of Modularity

When the design of an artifact is "modularized," the elements of the design are split up and assigned to modules according to a formal architecture or plan. Some of the modules are "hidden," meaning that design decisions in those modules do not affect decisions in other modules; some of the modules are "visible," meaning that they embody "design rules" that hidden-module designers must obey if the modules are to work together. Modular designs offer alternatives that non-modular ("interdependent") designs do not provide. Specifically, in the hidden modules, designers may replace early, inferior solutions with later, superior solutions. Such alternatives can be modeled as "real options. " In Design Rules, Volume 1: The Power of Modularity (MIT Press, 2000) we sought to categorize the major options implicit in a modular design, and to explain how each type can be valued in accordance with modern finance theory. This paper provides an example of the valuation of the modular options "splitting" and "substitution. " We show that the key drivers of the "net option value" of a particular module are (1) its "technical potential" (labeled s, because it operates like volatility in financial option theory); (2) the cost of mounting independent design experiments; and (3) the "visibility" of the module in question. The option value of a system of modules in turn can be approximated by adding up the net option values inherent in each module and subtracting the cost of creating the modular architecture. A positive value in this calculation justifies investment in a new modular architecture.
A Case of Rubella Encephalitis

OZET: Rubella virusu nadiren postinfeksiyoz ensefalite yol acar ve bu hastalarin da buyuk bir kismi sekelsiz iyilesir. Bu yazida, 14 yasinda, rubella postinfeksiyoz ensefaliti tanisi konulan bir cocuk sunulmaktadir. Hasta, akut bilinc kaybi ve konvulziyonlarla basvurdu. Beyin MRI incelemesi normal bulundu. Beyin omurilik sivisi ve serumda rubella spesifik IgM pozitif bulundu. Bilinc degisiklikleri ile gelen her hastada viral ensefalit goz onune alinmali ve muhtemel etkenler arasinda rubella da dusunulmelidir. Anahtar Kelimeler: Rubella, ensefalit ABSTRACT: Rubella virus has rarely been associated with the post-infectious encephalitis. Most patients recover without sequel. A 14 years-old-boy with rubella post-infectious encephalitis is reported. Acute deterioration in consciousness and repetitive seizures occurred. No abnormalities were noticed by cerebral MRI. Serum and cerebrospinal fluid specific Ig M was found to be positive. Viral encephalitis should be considered inpatients presented with altered consciousness, and rubella virus has to remembered among the causative organisms.
ERD'14

In this paper we overview the 2014 Entity Recognition and Disambiguation Challenge (ERD'14), which took place from March to June 2014 and was summarized in a dedicated workshop at SIGIR 2014. The main goal of the ERD challenge was to promote research in recognition and disambiguation of entities in unstructured text. Unlike many past entity linking challenges, no mention segmentations were given to the participating systems for a given document. Participants were asked to implement a web service for their system to minimize human involvement during evaluation and to enable measuring the processing times. The challenge has attracted a lot of interest (over 100 teams registered, and 27 of those submitted final results). In this paper we cover the task definition, issues encountered during annotation, and provide a detailed analysis of all the participating systems. Specifically, we show how we adapted the pooling technique to address the difficulties of gathering annotations for the entity linking task. We also summarize the ERD workshop that followed the challenge, including the oral and poster presentations as well as the invited talks.
Supplementary Materials for Asymmetric Non-local Neural Networks for Semantic Segmentation A. Quantitative comparisons on COCO-Stuff- 10K and NYUD-V2

Qualitative comparisons. We also give the qualitative comparisons of our Full (+ AFNB + APNB) method with other variants of our model in Fig. 1. In summary, our Full method shows the best semantic consistency and the least inconsistency artifacts while +AFNB and +APNB fail in some cases. The results also indicate AFNB and APNB is complementary to each other and the combination of them is beneficial to improve the performance.
Primal-dual algorithm and ADMM for digital image processing

This thesis introduce two algorithms to remove the noise and blur from the image. In the first section, we will talk about the primal-dual algorithms, which is efficient to solve the non-smooth convex problem. For the general problem, this method will converge to the saddle point with rate O(1/N) in finite dimension Hilbert space. Furthermore, when either the primal object or dual object is uniformly convex, we can deduce that the convergence rate can achieve O(1/N2). When both the primal object and dual object are uniformly convex, we can deduce that the convergence rate can achieve O(ω N 2 ). Since the primal-dual algorithm is sensitive to the regularization parameter and it depends on that the dual problem is solvable, in the second section, we introduce a method using the alternating direction method of multipliers (ADMM) strategy by just adding a new variable. This method will converge to the solution when the data obtained is exact. When the data is noisy, we should add an additional stop criterion to obtain a solution.
A new method to build confidence regions for solutions of stochastic variational inequalities

Variational inequality problems provide a unified framework for modeling equilibrium problems that arise from diverse areas. When the model data are subject to uncertainty, the problem may be formulated as a stochastic variational inequality (SVI). Stochastic variational inequalities are also closely related to stochastic optimization problems. To define a SVI problem, let (Ω,F , P ) be a probability space, and ξ be a random vector that is defined on Ω and supported on a closed subset Ξ of Rd. Let O be an open subset of Rn, and F be a measurable function from O × Ξ to Rn, such that for each x ∈ O the expectation f0(x) = E∥F (x, ξ)∥ < ∞. Let S be a polyhedral convex set in Rn. The SVI problem is to find a point x ∈ S ∩ O, called the true solution, such that
2 Hertz ' s Wave Equation for Source Free Homogeneous Linear Isotropic Media

A general feature of classical electrodynamics is the fact that an electromagnetic field must be a solution of Maxwell's equations. Therefore many theoretical considerations on the structure of Maxwell's equations exist. The analysis of an electromagnetic field is often facilitated by the use of auxiliary functions known as potential functions (scalar, vectorial, tensorial) [1, p.23]. These are solutions of partial differential equations. The partial differential equations are such, that solving them for the potential functions is equivalent to the more tedious task of solving Maxwell's equations directly [2].
Reasons for change in career to teaching and challenges faced among the teacher trainees in a one-year post graduate teacher education course in music education at a teachers’ training institution in Kuala Lumpur

The purpose of this study was to explore reasons behind graduates’ decisions to pursue teaching as a career and challenges experienced in a one year post graduate teacher education course (KPLI) in music education at a teacher training institution in Kuala Lumpur. Specific objectives of this study were to determine the pull and push factors that determine why young Malaysian graduates opt to change their career path to teaching at primary schools and how these young Malaysian graduates from various cultural backgrounds and qualifications view their training and face challenges in a one-year music education course. A total of 20 trainee teachers participated in this study. This study comprises two components. The first component consisted of two focus group discussions to bridge social and cultural differences amongst the participants. As a result of this first phase, trainee teachers with specific characteristics were targeted for a follow-up one-to-one interview phase. Interviews provided more insights into the trainee teachers’ reasons for a career change and challenges experienced in a oneyear post graduate teacher education course (KPLI) in music education. The findings are based on the teacher trainees’ narratives which have been transcribed from the focus group discussions and the one-to-one interviews. Different combinations of reasons and challenges emerged from the findings between male and female students, and these reasons and challenges experienced are further illustrated and discussed. The findings of this study would help build further development on questions arising about implications for teacher training in the future and the quality of graduates to lead music education in this nation.
A hybrid Genetic Algorithm for the vehicle and crew scheduling in mass transit systems

The integrated vehicle and crew scheduling problem is a difficult and widely studied Combinatorial Optimization problem. Several studies have shown that exact approaches for this problem are not useful in practical situations due to the high computational costs involved. This paper describes a hybrid genetic algorithm for vehicle and crew scheduling, which is modeled as a maximal covering problem with multiples resources. In addition, an innovative mathematical formulation is presented. Computational results with real vehicle and crew scheduling problem instances are presented and discussed. These results indicate that the proposed approach has a considerable potential for achieving significant gains in terms of operation costs and planning times.
Multi-User OFDM MIMO in IEEE 802.11ac: A Simulation Framework to Analysis and Synthesis

In this paper a simulation framework to analyze, design and optimize the physical layer of IEEE 802.11ac wireless local networks focusing on multi-user operation scenario is described and validated. The performance of channel inversion, regularized channel inversion and block diagonalization precoding schemes with zero forcing and minimum mean squared error multiple input multiple output (MIMO) detectors is evaluated over different configurations of 802.11 Task Group n (TGn) and TGac channel models. The expressive power loss due to multi-user operation has shown that more advanced precoding and MIMO detection schemes must be designed to allow satisfactory operation into feasible signal-to-noise-ratio ranges.