Miracle-dz/UniFAR-FTUs huggingface dataset:
Exploring Visual Search and Browsing Strategies on Web Pages Using the Eye-tracking

This study investigates the characteristics of visual search and browsing,and analyzes the differences of those strategies on Web pages using the eye tracking.When participants search on Web pages,the peripheral area is significantly higher than the central area on fixation duration and fixation count;when participants brows information on Web pages,there is no significant difference between the peripheral area and the central area on fixation duration and fixation count.Visual search is significantly larger than browsing on the average pupil diameter,which shows that the mental load on visual search is significantly greater than that on browsing.Results show that the visual search strategy pays more attention to the peripheral area than the central area;however,the visual browsing strategy freely run their eyes over the peripheral area and the central area in equality.The differences between the visual search and the browsing strategies are mainly due to the goal-driven and the mental load.
Energy consumption of High Power MANET Using LVC

A mobile ad hoc network (MANET) is a self-configuring, infrastructure-less network of mobile devices which is connected without any wires . In MANET the node can move in any direction independently.The main challenge in building a MANET is equipping each device to continuously maintain the information needed and to properly route traffic. So, these networks may operate by themselves or may be connected to the larger Internet. They may contain one or multiple and different transceivers between the nodes. Finally in a highly dynamic, autonomous topology. Vehicular Ad-hoc Networks (VANETs) are used cars and cars and roadside equipment. MANETS can be used for facilitating the collection of sensor data for data mining for a variety of applications such as air pollution monitoring and different types of architectures can be used for such applications.
Conception, réalisation et caractérisation d’un système photovoltaïque menu des commandes de contrôle et d’acquisition numériques

Dans ce papier, nous presentons les resultats concernant la conception, la realisation et la caracterisation d'un systeme photovoltaique (PV), de moyenne puissance (100 W), muni d'une commande MPPT, d'un regulateur charge/decharge des batteries, d'un systeme de poursuite de soleil et d'un systeme d'acquisition et de supervision, a base d'un microcontroleur. L'experimentation de chaque bloc montre que : (1) la commande MPPT numerique convergence instantanement le point de fonctionnement des panneaux PV autour du (.)
Efficient RFID Data Cleaning Model Based on Dynamic Clusters of Monitored Objects

Because wireless radio frequency signal is adopted during the RFID (radio frequency identification) communication, many false negative and false positive readings may be produced leading to inaccurate event detection. In RFID-based applications, monitored objects often progress in the form of group. In this paper, by analyzing the group changes based on the defined association degree and dynamic clusters, a series of models and algorithms about association degree maintenance and data cleaning are proposed. Especially, by compressing the graph model, an association degree maintenance strategy based on splitting and recombining list model is discussed to improve the time and space performance. Simulated experiments have demonstrated the efficiency and accuracy of the proposed data cleaning model.
Digitale Transformation: Veränderung der Arbeitswelt erfordert Anpassung der Qualifikation

Unsere Umwelt wird derzeit von einer zunehmenden Komplexität charakterisiert, die teils starke, schnelle und tiefgreifende Veränderungen im Bereich der Arbeitswelten bewirkt. Ein wesentlicher Motor dieser Veränderungen ist die technologische Entwicklung – im Konkreten die Digitale Transformation. Der Einfluss der Digitalen Transformation kann mittlerweile multidimensional und interdependent beobachtet werden [Petry, 2016]. Gesellschaften, Kunden und Märkte zu einzelnen Technologien entwickeln sich innerhalb von Tagen und Wochen und verschwinden ebenso schnell wieder vom Markt – und dies branchenübergreifend. Unterschiede mit Bezug zu einzelnen Branchen sind lediglich hinsichtlich der Ausprägungsstärke zu beobachten [ebd. ]. Petry [2016] spricht in diesem Kontext von der Digital Economy bzw. vom Zeitalter der Beschleunigung.
Identification of pole-like structures from mobile lidar data of complex road environment

ABSTRACT Pole-like structures (PLSs) located in road environment are important roadway assets. They play a vital role in road safety inspection and road planning. The use of light detection and ranging (lidar) based mobile mapping technology for mapping of PLSs is an important area of research as it holds the potential for automation. Point cloud data of rural, peri-urban, and urban road environment are used in this study, which pose special challenge in view of the complexity of terrain, unlike well-planned roads, which have been the subject of interest in existing literature for identification of PLSs. A new five-step method is proposed in this article. The first two steps, i.e. ground filtering and voxelization of filtered non-ground points, are used for data size reduction. Next three steps are used to extract PLSs from reduced data. The proposed method was tested on point cloud data of three test sites having different levels of complexities. PLSs including partially occluded pole, tilted pole, pole situated very close to other objects, and vertical pole attached to tilted pole were accurately identified. Average correctness and completeness, respectively of 92.6% and 94.9%, were achieved in three different complex test sites, i.e. urban, peri-urban, and rural sites, respectively. Computation complexity shows that our proposed method delivers fast and computationally efficient solution for identifying the PLSs from volumetric mobile lidar point cloud. Impact of PLSs on road safety and road planning is also addressed for these selected test sites.
Workbench’s Implementations Based in Telecontrol System Software Architecture

This paper describes two cases of implementation of a telecontrol system, based in software architecture. In it was employed the TCP protocol with a client-server schema for communication, the servers were developed in Windows 7MR (with Labview 2012MR) and Raspbian OS (with Portable Operating System Interface POSIX), both generate the proportional control action for two unstable first order systems which were emulated with operational amplifiers, which are located in the client. The client was developed in Windows 7MR with LabView 2012MR, and could plot the remote data obtained, acquire the system's controlled variable and generate the control signal proposed by the server, using data acquisition cards.
Foldlings: A Tool for Interactive Pop-up Card Design

Crafting a 3D paper pop-up is a creative and playful experience, which can help develop spatial reasoning skills. However, designing the cuts and folds is often a frustrating trial-and-error process due to the tight set of geometric constraints. We introduce Foldlings: an iPad application that assists in this exploratory process. Our tool-based approach allows users of all skill levels to create complex cards with ease, by separating folding geometries into logical units. We present a novel user interface for creating popup cards from user input, leveraging the practical two-dimensional format of paper. Our approach uses a modular set of simple drawing tools, which can be combined to create complex designs. We guarantee the validity of the folded card at all stages of design, and our interface provides an intuitive set of visual aids to help users understand the relationship between 2D patterns and 3D geometry. We describe the algorithms and data structures used in interpreting 2D user input and visualizing the 3D geometry of the folded card. We discuss results of user studies, which guided early stages of UI design and demonstrate the efficacy of the final prototype.
Anti-Theft Vehicle System using ARM 11

—The development of vehicular design brings public many conveniences in life but also brings many problems at the same time, for example, traffic congestion, difficult in monitoring dispersive vehicle, theft and other series of problems [3]. Due to the insecure environment the ratio of vehicle theft increases rapidly. Because of this is manufacturers of luxury automobiles has the responsibilities for taking steps to ensure the authorization for the owners and also in built the anti theft system to prevent the vehicle from theft. The proposed security system for smart cars used to prevent them from loss or theft using Advanced RISC Machine (ARM) processor. It performs the real time user authentication (driver, who starts the car engine) using face recognition, using the Principle Component Analysis (PCA) algorithm. According to the comparison result (authentic or not), ARM processor triggers certain actions. If the result is not authentic means ARM produces the signal to block the car access.
PEMBELAJARAN KEARIFAN LOKAL DI SEKOLAH DASAR

Kearifan lokal perlu ditanamkan sejak dini untuk mendukung upaya pembentukan karakter. Nilai-nilai kearifan lokal perlu diintegrasikan dalam pembelajaran di sekolah, salah satunya melalui materi yang tersusun dalam bahan ajar. Berdasarkan hasil observasi, belum ada bahan ajar yang memuat nilai-nilai kearifan lokal, utamanya nilai-nilai kearifan lokal Kabupaten Kediri. Oleh karena itu, penulis mengembangkan sebuah bahan ajar berupa modul berbasis kearifan lokal sebagai alternatif untuk menanamkan nilai-nilai kearifan lokal melalui pembelajaran di Sekolah Dasar. Modul berbasis kearifan lokal memungkinkan siswa memperoleh pemahaman nilai-nilai kearifan lokal dalam pembelajaran sekaligus mendapat kesempatan untuk belajar secara mandiri sesuai kecepatan dan kemampuan belajarnya.
Software Configuration Management Identification Accounting Control And Management

Thank you very much for downloading software configuration management identification accounting control and management. Maybe you have knowledge that, people have search hundreds times for their favorite novels like this software configuration management identification accounting control and management, but end up in infectious downloads. Rather than enjoying a good book with a cup of coffee in the afternoon, instead they are facing with some malicious virus inside their desktop computer.
Coverage Criteria for GUI Testing Based on Directed Graph for Window Navigation

To evaluate the adequacy of a test suite for testing a program with graphical user interfaces(GUI),new coverage criteria based on directed graph for window navigation was proposed.The vertexes in the graph represent windows of GUI,and the directed edges represent user inputs on windows.The graph models the interaction between user and GUI.Top window coverage criterion,user input coverage criterion and length n user input sequence coverage criterion were proposed based on the graph.Algorithms were presented to compute the coverage rate on every coverage criterion.Experimental results show that the test suites satisfying the proposed criteria can reach a statement coverage rate as high as 90%,and a GUI fault detection rate as high as 79%.
An analysis of three L2 teaching preferences in light of an efficient route to L2 learning

Error correction,grammar-and test-oriented learning are three time-honored practices in L2 teaching in China.Some teachers rely so much on the three activities in L2 instruction that they acquire overwhelming preferences for them.For a deeper understanding of these three teaching preferences and their effects on L2 learning,the present paper formulates a model of language learning that aims to schematize a route to efficient L2 acquisition.The route emphasizes that language acquisition starts with interaction and involves comprehension and production.The degree to which comprehension and production are closely integrated determines efficiency of language learning.This conceptualization contributes to an account of the three preferences and its relationship to L2 learning and has implications for improving L2 pedagogy.
Kinematics Analysis and Modeling of 6 Degree of Freedom Robotic Arm from DFROBOT on Labview

The aim of this study is to analyze the robot arm kinematics which is very important for the movement of all robotic joints. Also they are very important to obtain the indication for controlling or moving of the robot arm in the workspace. In this study the kinematics of ROB0036 DFROBOT Arm will be accomplished by using LabVIEW. Finding the parameters of Denavit-Hartenberg representation, the kinematic equations of motion can be derived which solve the problems of automatic control of the 6 revolute joints DFROBOT manipulator. The kinematics solution of the LabVIEW program was found to be nearest to the robot arms actual measurements.
Cultural analysis situs

The disciplines of complex network science, of art and cultural history, and of computation have a common ancestor in the 'analysis situs' of Gottfried Wilhelm Leibniz. Unfortunately, this shared conceptual origin remains hidden so far within a history of science that is tragically bifurcated, due to the branching evolution of disciplinary focus, due to changes in language, and due to sometimes forced scholarly migration. This chapter breaks the mutual tear lines of citation between disciplines to enable a common future. What lies at stake is the surprisingly deep-rooted and shared foundation of the emerging enterprise of a systematic science of art and culture. This enterprise currently flourishes mainly in departments of multidisciplinary information science, network and complexity science, and applications in industry. It promises nothing less than an integration of humanistic inquiry and a physics of cultures and cultural production.
Mirror symmetry in black holes, elementary particles, and mathematics

Mirror symmetry is the study of two seemingly different objects that are conjectured to be the same. That is, we could think of them as mirror images of each other. For example, string theorists conjecture that there exists such a duality between black holes and elementary particles. This thesis discusses this example from string theory, and demonstrates some mathematical mirror symmetry examples involving polynomials and groups. Given a pair made up of a polynomial and a group, we create a vector space. The vector spaces created by the dual pair always turn out to be equivalent! Progress in this field has been made by breaking polynomials into smaller pieces (atomic-types), called Fermats, chains, and loops. In this thesis I will give a formula and complete description of the vector spaces associated to Fermat and loop polynomials with repeated exponents and using their maximal symmetry groups. Finally, explanations on general observations on the occurrence of vector spaces with various dimensions based on computations will be explored, and explanations for various methods and formulas obtained during my study of these objects will be given.
A Multi-objective Non-Dominated Sorted Artificial Bee Colony Feature Selection Algorithm for Medical Datasets

Objective: There exists a huge amount of heterogeneous data in medical databases which when mined may provide valuable information for medical diagnosis. The processing of this voluminous data is tedious, owing to its high dimensionality. The presence of irrelevant and redundant data may reduce the performance of data mining algorithms. The data preprocessing technique, feature selection, removes any irrelevant or redundant features and selects discriminative features. The objective of this research work is to propose a feature selection algorithm that meets two objectives, 1. Reduce the number of features and 2. Maximize the classification accuracy. Methods/Statistical Analysis: The research work proposes a feature selection algorithm Multi-Objective Non-Dominated Sorted Artificial Bee Colony Algorithm (NSABC) that combines Pareto optimization and Artificial Bee Colony (ABC) algorithm for selecting the Non-Dominant optimal feature subsets of three medical datasets viz. Wisconsin Breast Cancer, Pima Indian Diabetes and Statlog Heart disease datasets. The features selected by the ABC algorithm are further optimized by applying Pareto optimization. The feature subsets selected are validated by evaluating the performance of KNN classifier in terms of the classification metrics Precision, Recall and Accuracy before and after feature selection. Findings: The percentage of feature reduction and the improved performance of the classifier prove that the proposed feature selection method has selected the discriminate features of the datasets. The selected feature subsets are further validated by calculating the entropy, the measure signifying the individuality and independent nature of the features in the feature subset. Application/Improvement: The reduced feature subset selected is used in the easy diagnosis of the disease during the medical diagnosis. This also helps in cost and time reduction for the medical diagnosis of the disease.
Smart Grids

The papers in this special section focus on the topic of smart grids. Smart Grids are an essential component of future energy systems, which are characterized by distributed, volatile energy production (solar, wind) and entirely new components (electric vehicles) and operation concepts (virtual power plants). Smart Grids are also a prominent example of Cyber Physical Systems, as they combine wide-area control, computation, and communications. While traditional automation of the power grid makes use of wireline communications (copper, fiber), Smart Grids require wide-area coverage with flexible, cost-efficient, but also very reliable communications networks. Therefore, wireless communication technologies will play an increasingly important role in future deployment scenarios. The investigated options range from cellular networks over satellite systems to wireless mesh networks. Also, the ongoing discussion of future 5G systems is driven by the requirements of Smart Grids as one major use case. Particular challenges for wireless communication options include availability, real-time capabilities for incident mitigation, and resilience. The performance evaluation of Smart Grids calls for new methods, such as the interdisciplinary hybrid simulation of energy and communication networks.
Revealing Interdisciplinarity in Nanoscience and Technology Queries: A Transaction Log Analysis Approach

The study reported here investigated the search behaviour patterns of nanoscience and nanotechnology searchers as revealed by transaction log analysis of the NANOnetBASE electronic book digital library. This paper examines the patterns and strategies of nano searchers' query formulation and reformulation, then explores the extent of interdisciplinarity in search queries using the INSPEC and Compendex thesauri. The results show certain query formulation patterns associated with searching in an emerging and interdisciplinary area of nanotechnology such as: the use of multiword and compound query terms, extensive use of search terms beginning with the prefix "nano," hyphenated terms, spelling variations, a large number of query reformulations, and the use of acronyms. The results also indicate that 62% of the unique top terms resulting from mapping users' query terms to the INSPEC Classification codes represented two or more disciplines, specifically terms associated with the Classification code "A" representing "physics. " The results have implications for information organization and representation, user interface design and federated searching in digital libraries and multi-subject databases.
A General Diagnostic Model Applied to Language Testing Data. Research Report. ETS RR-05-16.

Probabilistic models with one or more latent variables are designed to report on a corresponding number of skills or cognitive attributes. Multidimensional skill profiles offer additional information beyond what a single test score can provide, if the reported skills can be identified and distinguished reliably. Many recent approaches to skill profile models are limited to dichotomous data and have made use of computationally intensive estimation methods such as Markov chain Monte Carlo, since standard maximum likelihood (ML) estimation techniques were deemed infeasible. This paper presents a general diagnostic model (GDM) that can be estimated with standard ML techniques and applies to polytomous response variables as well as to skills with two or more proficiency levels. The paper uses one member of a larger class of diagnostic models, a compensatory diagnostic model for dichotomous and partial credit data. Many well-known models, such as univariate and multivariate versions of the Rasch model and the two-parameter logistic item response theory model, the generalized partial credit model, as well as a variety of skill profile models, are special cases of this GDM. In addition to an introduction to this model, the paper presents a parameter recovery study using simulated data and an application to real data from the field test for TOEFL Internet-based testing.
Design of Power Distribution Management Information System Based on Workflow

The workflow technology is quite fit to develop management information system of power distribution enterprise,with production management having strong characteristics of business process.Based on workflow technology,this paper analyzes the requirement of MIS applied to the power distribution enterprise.How to abstract and describe business process,to deal with data flow,to design user action and action monitoring within system design are given.The management information system is realized by using BEA Weblogic integration of a workflow management system.Practices show the system is effective.
Administrative Capacity for Municipalities: Comparison of Sample Case Municipalities of Central Anatolia Region and the State of Arizona

The aim of this study is to compare the administrative capacity of municipalities with populations of 100,000 to 250,000 in Central Anatolia (Turkey) and the State of Arizona (the United States of America), and to make recommendations for improving the administrative capacity of each municipality. In this context, the concept of administrative capacity is defined as “municipalities’ ability to regulate, develop and manage the physical, financial, human and information resources allocated to them in order to provide the necessary services to their citizens. ” Data was collected from sample municipalities in the Central Anatolia Region of Turkey and the state of Arizona through interviews with municipal leaders (manager, director etc.) and a questionnaire about their perceptions.