Miracle-dz/UniFAR-FTUs huggingface dataset:
Load Sharing for the Stream Control Transmission Protocol (SCTP)

The Stream Control Transmission Protocol (SCTP) supports multi-homing for providing network fault tolerance. However, mainly one path is used for data transmission. Only timer-based retransmissions are carried over other paths as well. This document describes how multiple paths can be used simultaneously for transmitting user messages.
Approaches, Issues and Challenges in Recommender Systems: A Systematic Review

Objectives: Today the recommendation technology has managed to achieve a distinct place in the modern and fascinating world of e-commerce applications as it helps the user in selecting items or products of his interest from a large pool. The present article aims to provide a comprehensive and systematic review of the state-of-the-art recommender systems. Methods/Statistical Analysis: The entire literature review process was divided into six research questions keeping in view the different perspectives of recommendation field. The methodology adopted here, consists of the search plan and the paper selection criteria. The search plan attempts to retrieve the research studies through several digital libraries and the paper selection criteria help filter out the most relevant studies further to gather evidence against each of the research questions. Findings: The literature review process provides a thorough discussion on different techniques deployed in recommender system literature such as collaborative filtering, content-based filtering, social filtering, demographic and knowledge-based and utility based systems. It also explores their strengths and weaknesses. The recommender systems face certain challenges in their deployment such as cold-start, sparsity, scalability, user privacy, etc. The different application domains where recommender systems are being adopted these days include movie, music, books, news, tourism etc. The gap analysis conducted during literature review, focuses on improving the traditional recommendation approaches, the precise blend of existing approaches with different types of information, modeling of user profiles and recommended items, standardization of non-standard evaluation techniques etc. Application/Improvements: This paper also throws some light on certain application fields such as television, research grants, restaurant, job search, etc. that need to grab the attention of scientific and research communities to promote more research in those areas.
User Authentication based on Continuous Touch Biometrics

Mobile devices such as smartphones have until now been protected by traditional authentication methods, including passwords or pattern locks. These authentication mechanisms are difficult to remember and are often disabled, leaving the device vulnerable if stolen. This paper investigates the possibility of unobtrusive, continuous authentication for smartphones based on biometric data collected using a touchscreen. The possibility of authenticating users on a smartphone was evaluated by conducting an experiment simulating real-world touch interaction. Touch data was collected from 30 participants during normal phone use. The touch features were analysed in terms of the information provided for authentication. It was found that features such as finger pressure, location of touch interaction and shape of the finger were important discriminators for authentication. The touch data was also analysed using two classification algorithms to measure the authentication accuracy. The results show that touch data is sufficiently distinct between users to be used in authentication without disrupting normal touch interaction. It is also shown that the raw touch data was more effective in authentication than the aggregated gesture data.
Compliance and Regulatory Standards for Cloud Computing

Cloud computing is expanding in reach, with its utility-based features and enhanced agility. Still, there is a big concern about the privacy and security of the data. Because of these concerns, third-party cloud users are employing the cloud only for less sensitive data, and the advantage of cloud computing is not fully harnessed. In order to ensure the privacy and security of data, proper compliance and regulatory standards become very important for the cloud domain. Although a number of such standards exist for the traditional computing, they must be modified for their wider adoption to the cloud platforms. This chapter considers the worldwide available standards in the technical and non-technical categories for wider coverage of the cloud platforms. In the technical category, security standards presently followed by cloud computing have been discussed, while in the non-technical category, privacy and accounting standards like HIPPA, SAS 70, GAPP, etc. have been considered.
Dynamic Knowledge Management Toolkit

: An important aspect of knowledge management is the implementation of methods to share the unstructured knowledge of expert practitioners within an organization. The existence of unstructured and dynamic knowledge represents a challenge to experts due to the dynamic and non-sequential nature of such knowledge. In order to make such knowledge sharable, it is necessary to have both an effective elicitation method and a useful representation toolkit. In this paper we describe a Dynamic Knowledge Toolkit (DKT) that is used in knowledge elicitation and representation based upon Knowledge maps. Knowledge Maps content is different from the more general information in typical reference material and that is organized quite differently than standard textbook knowledge or mainstream hypermedia learning systems. These knowledge models tend to be large and complex with interwoven themes and rich interconnections of the concepts based on the expert's highly articulated mental model of the domain. Knowledge Maps have been used in all facets of education, training and business. With the fundamental goal of fostering learning and knowledge sharing they have been shown to be an effective tool for displaying prior knowledge, summarizing, planning, scaffolding for understanding, consolidating experiences, improving affective conditions for critical thinking, decision making, supporting cooperation and collaboration, and organizing unstructured knowledge content. We describe the use of the toolkit in a case study on the capture and representation of local weather forecasting knowledge. We also show how Knowledge maps can be used to support activities such as the preservation of institutional memory, the "recovery" of expertise that might reside in less accessible forms such as archived documents, for performance support, and for other knowledge-intensive pursuits such as weather forecasting or crisis management.
Fast Ensemble Pruning Algorithm Based on FP-Tree

By selecting parts of base classifiers to combine, ensemble pruning aims to achieve a better generalization and have less prediction time than the ensemble of all base classifiers. While, most of the ensemble pruning algorithms in literature consume much time for classifiers selection. This paper presents a fast ensemble pruning approach: CPM-EP (coverage based pattern mining for ensemble pruning). The algorithm converts an ensemble pruning task into a transaction database process, where the prediction results of all base classifiers for the validation set are organized as a transaction database. For each possible size k, CPM-EP obtains a refined transaction database and builds a FP-Tree to compact it. Next, CPM-EP selects an ensemble of size k. Among the obtained ensembles of all different sizes, the one with the best predictive accuracy for the validation set is output. Experimental results show that CPM-EP reduces computational overhead considerably. The selection time of CPM-EP is about 1/19 that of GASEN and 1/8 that of Forward Selection. Additionally, this approach achieves the best generalization, and the size of the pruned result is small.
Data Prediction based on Data Mining Combined Model

Given modelling method of combination forecast model based on the Data mining. Based on Data mining's combination forecast model's modelling method can reduce the serious influence that the variable substitution brings and has fully used useful information in the primary data. It obviously improved the accuracy of the prediction model. With data mining technology as the entry point and in combination with the analysis on data prediction characteristics, data prediction implementation access based on data mining combination model has been explored in the thesis. Research on variable substitution to non-linear regression forecast model precision's influence, and seek the modelling method that can improve the forecast precision. Based on the Data mining, the transform in space and the weighted processing combined method, make full use of information that the primary data provide.
Classification of quench-dynamical behaviors in spinor condensates

Thermalization of isolated quantum systems is a long-standing fundamental problem where different mechanisms are proposed over time. We contribute to this discussion by classifying the diverse quench dynamical behaviours of spin-1 Bose-Einstein condensates, which includes well-defined quantum collapse and revivals, thermalization, and certain special cases. These special cases are either nonthermal equilibration with no revival but a collapse even though the system has finite degrees of freedom or no equilibration with no collapse and revival. Given that some integrable systems are already shown to demonstrate the weak form of eigenstate thermalization hypothesis (ETH), we determine the regions where ETH holds and fails in this integrable isolated quantum system. The reason behind both thermalizing and nonthermalizing behaviours in the same model under different initial conditions is linked to the discussion of `rare' nonthermal states existing in the spectrum. We also propose a method to predict the collapse and revival time scales and how they scale with the number of particles in the condensate. We use a sudden quench to drive the system to non-equilibrium and hence the theoretical predictions given in this paper can be probed in experiments.
Design of a morphing flap in a two component airfoil with a droop nose

The performances of lifting surfaces are particularly critical in specific flight conditions like takeoff and landing. Different systems can be used to increase the lift and drag coefficients in such conditions like slat, flap or ailerons. Nevertheless they increase the losses and make difficult the mechanical design of wing structures. Morphing surfaces are a compromise between a right increase in lift and a reduction of parts movements involved in the actuation. Furthermore these systems are suitable for more than one flight condition with low inertia problems. So, flap and slats can be easily substituted by the corresponding morphing shapes. This paper deals with a genetic optimization of an airfoil with morphing flap with an already optimized nose. Indeed, two different codes are used to solve the equations, a finite volume code suitable for structured grids named ZEN and the EulerBoundary Layer Drela’s code MSES. First a number of different preliminary design tests were done considering a specific set of design variables in order to restrict the design region. Then a RANS optimization with a single design point related to the take-off flight condition has been carried out in order to refine the previous design. Results are shown using the characteristic curves of the best and of the baseline reported to outline the computed performances enhancements. They reveal how the contemporary use of a morphing acting on the nose of the main component and the trailing edge of the flap drive towards a total not negligible increment in lift.
A MATLAB PROGRAM FOR THE ANALYSIS AND INTERPRETATION OF TRANSIENT ELECTROMAGNETIC SOUNDING DATA

Herein we present a software system, written in MATLAB, to interpret TEM sounding data. The program, dubbed maTEM, is designed to process, model and invert multiple soundings, either individually, or simultaneously along profiles. The latter capability allows for laterally constrained inversion, so as to generate pseudo-2D or 2D resistivity sections based on the program EM1DINV v2.13 by the Hydro-Geophysics Group of the University of Aarhus, Denmark. Using maTEM, the analyst may import and display data multiple data sets, denoise and smooth the data, perform approximate inversions, design 1-D model(s) graphically, perform forward modelling and inversion and generate/ update data base in which to store the results. Finally, the analyst may use the data base to create 2-D and 3-D displays of the geoelectric structure with built-in graphical functions. maTEM is highly modular so that additional functions can be added at any time, at minimal programming cost. Although the software presented herein is focused on the analysis of TEM data, the maTEM concept has been designed ready to incorporate additional electrical and EM geophysical sounding methods and to mutually constrained analysis of different geophysical data sets.
Eidolon: Adapting distributed applications to their environment

Grids, multi-clusters, NUMA systems, and ad-hoc collections of distributed computing devices all present diverse environments in which distributed computing applications can be run. Due to the diversity of features provided by these environments a distributed application that is to perform well must be specifically designed and optimised for the environment in which it is deployed. Such optimisations generally affect the application’s communication structure, its consistency protocols, and its communication protocols. This thesis explores approaches to improving the ability of distributed applications to share consistent data efficiently and with improved functionality over wide-area and diverse environments. We identify a fundamental separation of concerns for distributed applications. This is used to propose a new model, called the view model, which is a hybrid, cost-conscious approach to remote data sharing. It provides the necessary mechanisms and interconnects to improve the flexibility and functionality of data sharing without defining new programming models or protocols. We employ the view model to adapt distributed applications to their run-time environment without modifying the application or inventing new consistency or communication protocols. We explore the use of view model properties on several programming models and their consistency protocols. In particular, we focus on programming models used in distributed-shared-memory middleware and applications, as these can benefit significantly from the properties of the view model. Our evaluation demonstrates the benefits, side effects and potential shortcomings of the view model by comparing our model with traditional models when running distributed applications across several multi-clusters scenarios. In particular, we show that the view model improves the performance of distributed applications while reducing resource usage and communication overheads.
Design consideration for a mobile testbed

Today’s cellular technologies allow users to access the Internet in a car or on a high-speed train, albeit the access bandwidth is far lower than that through a typical wired access technology such as Ethernet. Numerous new applications and services are under development for users of wireless technologies. Locationbased services (e.g, GPS navigation) and streaming media services are just two examples from the vast set of candidate applications and services. Not only researchers, but application and service developers could benefit from a testbed where they could experiment with mobility in the network. A typical testbed for a mobile wireless technology has no mobile component in it. Notable exceptions are: mobile Emulab [6] and DOME [1]. Mobile Emulab consists of mobile robots mounted with an 802.11 interface in a confined indoor setting. It offers 1 cm accuracy in robot maneuvering and location reporting. Mobile Emulab has the same access policy as Emulab: users request and are granted fixed resources in advance [9]. DOME (Diverse Outdoor Mobile Environment) has multiple DTN (Disruption Tolerant Networking) testbeds. One of them, DieselNet, consists of computers that are mounted on buses and have multiple radio interfaces. They connect with computers on other buses or scan for DHCP (Dynamic Host Configuration Protocol) offers. Another DTN in DOME is TurtleNet, which actually has Wood turtles as the carrying medium of sensors. These sensors monitor the turtles’ behavior and habitats, and upload the data whenever the turtles pass by the collection post. While Mobile Emulab is open for public access, all networks in DOME are for special-purpose. The limited number of mobile testbeds is a clear demonstration of difficulties in building and maintaining a mobile testbed. A mobile testbed poses chal-
Towards Sustainable Performance: Promoting Eco-Design in Green Supply Chain Management Practices

This paper explores the green supply chain management practices adoption among Malaysian ISO 14001 certified manufacturing companies. The green practices that are measured in this research are eco-design, green purchasing and reverse logistics. This study used survey to collect responses from 616 manufacturing companies, with a response rate of 24.68%. The findings provided evidence that the level of green supply chain management practices has been implemented to a greater extent among responding firms. Specifically, the results have empirically proven that eco-design was the most highly adopted green practices among these manufacturing firms. In view of these findings, green supply chain management practices that involve external relationship with suppliers and customers (green purchasing and reverse logistics) have comparatively lower adoption than internally-focused green supply chain management practices (eco-design), which involves fewer external relationships. This paper provides the possible reasons for eco-design being the most adopted green practise among Malaysian ISO 14001 certified manufacturing companies and provides suggestions for firms in view of enhancing their sustainable performance through promoting eco-design in their green practices.
Maven The Definitive Guide

Thank you for downloading maven the definitive guide. Maybe you have knowledge that, people have search hundreds times for their favorite books like this maven the definitive guide, but end up in malicious downloads. Rather than enjoying a good book with a cup of coffee in the afternoon, instead they juggled with some harmful bugs inside their computer. maven the definitive guide is available in our book collection an online access to it is set as public so you can download it instantly. Our digital library saves in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Kindly say, the maven the definitive guide is universally compatible with any devices to read.
FSTM:a Subjective Trust Model Based on Fuzzy Theory for P2P Network

The feature of the peer-to-peer system such as user anonymity,open nature makes that it's hard to establish the trust among participants by the objective confirmation mechanism.This paper presents a new P2P reputation system based on the fuzzy set theory.It employs fuzzy operators to deal with the issues of trust vector's transfer and coalition,and then apply them to calculate the transitive closure of global trust relation matrix.Plus,with the help of distributed hash tables,the trust value can propagate easily.Experiments show that the model can improve the rate of successful barter greatly,and the computing cost of the whole peer-to-peer network is comparatively less.
Testing a one-dimensional prescription of dynamical shear mixing with a two-dimensional hydrodynamic simulation

The treatment of mixing processes is still one of the major uncertainties in 1D stellar evolution models. This is mostly due to the need to parametrize and approximate aspects of hydrodynamics in hydrostatic codes. In particular, the effect of hydrodynamic instabilities in rotating stars, for example, dynamical shear instability, evades consistent description. We intend to study the accuracy of the diffusion approximation to dynamical shear in hydrostatic stellar evolution models by comparing 1D models to a first-principle hydrodynamics simulation starting from the same initial conditions. We chose an initial model calculated with the stellar evolution code GENEC that is just at the onset of a dynamical shear instability but does not show any other instabilities (e.g., convection). This was mapped to the hydrodynamics code SLH to perform a 2D simulation in the equatorial plane. We compare the resulting profiles in the two codes and compute an effective diffusion coefficient for the hydro simulation. Shear instabilities develop in the 2D simulation in the regions predicted by linear theory to become unstable in the 1D model. Angular velocity and chemical composition is redistributed in the unstable region, thereby creating new unstable regions. Eventually the 2D simulation settles in a symmetric, steady state, which is Richardson stable everywhere, whereas the instability remains for longer in the 1D model due to current limitations in the 1D code. A spatially resolved diffusion coefficient is extracted by comparing the initial and final profiles of mean atomic mass. The presented simulation gives a first insight on hydrodynamics of shear instabilities in a real stellar environment and even allows us to directly extract an effective diffusion coefficient. We see evidence for a critical Richardson number of 0.25 as regions above this value remain stable for the course of the simulation.