scholarly journals APPLYING SMARTPHONES FOR POSITIONING IN THE MIDDLE OF THE ROOM

2020 ◽  
Vol 1 (1) ◽  
pp. 11-18
Author(s):  
Olexander Belej ◽  
K.K. Kolesnyk
Keyword(s):  
Relative Position ◽  
Moving Objects ◽  
Power Level ◽  
Data Sets ◽  
Relative Power ◽  
Unique Identifier ◽  
Comprehensive Data ◽  
Satellite Signal ◽  
Alternative Sources ◽  
Actual Accuracy

The article deals with the problem of navigating indoors in conditions of satellite signal unavailability. In this case, alternative sources of positioning are used to determine the location of the objects. Use for navigation tasks inside the premises of the smartphone allows you to get comprehensive data on its operation. To solve the problem of navigation, the most important elements of the data sets is the unique identifier of the monitored device and the relative power level of the signal received from it. The data of the calculations and experiments show that the navigation measurements with the help of smartphones allow to qualitatively solve the problem of observation at given distances between sensors not exceeding 5-7 meters. The relative position of the sensors and the moving objects is important. At a distance of 5 m from the beacons and the object, the actual accuracy of the object coordinates is 1-2 m, which is sufficient for traditional navigation tasks in the middle of buildings.

scholarly journals The position of the farm holiday in Austrian tourism

2019 ◽  
Vol 4 (1) ◽  
pp. 697-711 ◽  
Author(s):  
Erika Quendler
Keyword(s):  
Empirical Research ◽  
Relative Position ◽  
Secondary Data ◽  
Point Of View ◽  
Local Context ◽  
Supply Side ◽  
Data Sets ◽  
Demand Side ◽  
Tourist Destinations ◽  
Tourist Accommodation

AbstractTourism is vitally important to the Austrian economy. The number of tourist destinations, both farms and other forms of accommodation, in the different regions of Austria is considerably and constantly changing. This paper discusses the position of the ‘farm holiday’ compared to other forms of tourism. Understanding the resilience of farm holidays is especially important but empirical research on this matter remains limited. The term ‘farm holiday’ covers staying overnight on a farm that is actively engaged in agriculture and has a maximum of 10 guest beds. The results reported in this paper are based on an analysis of secondary data from 2000 and 2018 by looking at two types of indicator: (i) accommodation capacity (supply side) and (ii) attractiveness of a destination (demand side). The data sets cover Austria and its NUTS3 regions. The results show the evolution of farm holidays vis-à-vis other forms of tourist accommodation. In the form of a quadrant matrix they also show the relative position of farm holidays regionally. While putting into question the resilience of farm holidays, the data also reveals where farm holidays could act to expand this niche or learn and improve to effect a shift in their respective position relative to the market ‘leaders’. However, there is clearly a need to learn more about farm holidays within the local context. This paper contributes to our knowledge of farm holidays from a regional point of view and tries to elaborate on the need for further research.

scholarly journals The insoluble problems of books: what does Altmetric.com have to offer?

2018 ◽  
Vol 70 (6) ◽  
pp. 691-707 ◽  
Author(s):  
Daniel Torres-Salinas ◽  
Juan Gorraiz ◽  
Nicolas Robinson-Garcia
Keyword(s):  
Special Focus ◽  
Data Sets ◽  
Content Type ◽  
Social Sciences And Humanities ◽  
Promising Tool ◽  
The Social ◽  
Google Books ◽  
Data Source ◽  
Alternative Sources ◽  
The One

Purpose The purpose of this paper is to analyze the capabilities, functionalities and appropriateness of Altmetric.com as a data source for the bibliometric analysis of books in comparison to PlumX. Design/methodology/approach The authors perform an exploratory analysis on the metrics the Altmetric Explorer for Institutions, platform offers for books. The authors use two distinct data sets of books. On the one hand, the authors analyze the Book Collection included in Altmetric.com. On the other hand, the authors use Clarivate’s Master Book List, to analyze Altmetric.com’s capabilities to download and merge data with external databases. Finally, the authors compare the findings with those obtained in a previous study performed in PlumX. Findings Altmetric.com combines and orderly tracks a set of data sources combined by DOI identifiers to retrieve metadata from books, being Google Books its main provider. It also retrieves information from commercial publishers and from some Open Access initiatives, including those led by university libraries, such as Harvard Library. We find issues with linkages between records and mentions or ISBN discrepancies. Furthermore, the authors find that automatic bots affect greatly Wikipedia mentions to books. The comparison with PlumX suggests that none of these tools provide a complete picture of the social attention generated by books and are rather complementary than comparable tools. Practical implications This study targets different audience which can benefit from the findings. First, bibliometricians and researchers who seek for alternative sources to develop bibliometric analyses of books, with a special focus on the Social Sciences and Humanities fields. Second, librarians and research managers who are the main clients to which these tools are directed. Third, Altmetric.com itself as well as other altmetric providers who might get a better understanding of the limitations users encounter and improve this promising tool. Originality/value This is the first study to analyze Altmetric.com’s functionalities and capabilities for providing metric data for books and to compare results from this platform, with those obtained via PlumX.

Production Levels of Bauxite and Aluminum: Global Historical Survey (1850–2015)

2019 ◽  
Author(s):  
Charles Christopher Sorrell ◽  
Pramod Koshy
Keyword(s):  
Primary Aluminum ◽  
Data Sets ◽  
List Type ◽  
Historical Survey ◽  
Secondary Aluminum ◽  
Comprehensive Data ◽  
Conversion Rates ◽  
Global Data

The present work provides a concise examination of the historical global production levels of bauxite, primary aluminum, and secondary aluminum from 1850 to 2015. It also provides a contextual background to these data by summarizing the main etymological, technical, and commercial developments throughout most of this period. It further includes comprehensive data for the pricing of primary aluminum in both historical and 2015 dollars on the basis of economy cost. The syntheses of the data include the following: Global production levels of bauxite based on three data setsGlobal production levels of primary aluminum based on three data setsGlobal production levels of secondary aluminum based on three data setsComparative global production levels of secondary aluminum based on five data setsPrices of primary aluminum in historical US dollars and in US dollars indexed to 2015 values based on four data setsConversion rates for historical US dollars against 2015 valuesIn addition to the preceding global data, extensive pre-1900 data for French, Swiss, and US production levels and French and US prices of primary aluminum are compiled.

Identification and Recognition of Speaker Voice Using a Neural Network-Based Algorithm

2021 ◽  
pp. 278-289
Author(s):  
Neeraja Koppula ◽  
K. Sarada ◽  
Ibrahim Patel ◽  
R. Aamani ◽  
K. Saikumar
Keyword(s):  
Neural Network ◽  
Speech Signal ◽  
Moving Objects ◽  
Back Propagation ◽  
Data Sets ◽  
Back Propagation Algorithm ◽  
Neural Organization ◽  
Propagation Algorithm ◽  
Individual Voice

This chapter explains the speech signal in moving objects depending on the recognition field by retrieving the name of individual voice speech and speaker personality. The adequacy of precisely distinguishing a speaker is centred exclusively on vocal features, as voice contact with machines is getting more pervasive in errands like phone, banking exchanges, and the change of information from discourse data sets. This audit shows the location of text-subordinate speakers, which distinguishes a solitary speaker from a known populace. The highlights are eliminated; the discourse signal is enrolled for six speakers. Extraction of the capacity is accomplished utilizing LPC coefficients, AMDF computation, and DFT. By adding certain highlights as information, the neural organization is prepared. For additional correlation, the attributes are put away in models. The qualities that should be characterized for the speakers were acquired and dissected utilizing back propagation algorithm to a format picture.

scholarly journals Accurate moving object segmentation in unconstraint videos based on robust seed pixels selection

2020 ◽  
Vol 17 (4) ◽  
pp. 172988142094727
Author(s):  
Wenlong Zhang ◽  
Xiaoliang Sun ◽  
Qifeng Yu
Keyword(s):  
Optical Flow ◽  
Moving Objects ◽  
Object Segmentation ◽  
Moving Object ◽  
Data Sets ◽  
Seed Selection ◽  
Current Frame ◽  
Moving Object Segmentation ◽  
Random Walker ◽  
Previous Frame

Due to the clutter background motion, accurate moving object segmentation in unconstrained videos remains a significant open problem, especially for the slow-moving object. This article proposes an accurate moving object segmentation method based on robust seed selection. The seed pixels of the object and background are selected robustly by using the optical flow cues. Firstly, this article detects the moving object’s rough contour according to the local difference in the weighted orientation cues of the optical flow. Then, the detected rough contour is used to guide the object and the background seed pixel selection. The object seed pixels in the previous frame are propagated to the current frame according to the optical flow to improve the robustness of the seed selection. Finally, we adopt the random walker algorithm to segment the moving object accurately according to the selected seed pixels. Experiments on publicly available data sets indicate that the proposed method shows excellent performance in segmenting moving objects accurately in unconstraint videos.

Developmental Models and Early Experience

1986 ◽  
Vol 9 (2) ◽  
pp. 175-190 ◽  
Author(s):  
Kevin MacDonald
Keyword(s):  
Early Experience ◽  
Behavioral Development ◽  
Mechanistic Models ◽  
Data Sets ◽  
Relative Power ◽  
Developmental Models ◽  
Models Of Development ◽  
The Individual ◽  
Developmental Norms

This paper attempts to describe links between the transactional or dialectical and the mechanistic models of development and to provide a rationale for why both types are useful. Examples of data sets, deriving principally from the early experience literature, are provided which conform to both, and it is concluded that the applicability of the model for describing behavioral development is strongly influenced by where the individual stands on three empirical dimensions: (1) the relative power of the environments that the individual is exposed to; (2) the plasticity of the individual's behavior; and (3) the deviation of the individual from developmental norms. These factors crucially affect the degree of reciprocity found in organism-environment interactions, and the results suggest that differences between developmental models are reconcilable.

scholarly journals A fuzzy-registration approach to track cell divisions in time-lapse fluorescence microscopy

2018 ◽  
Author(s):  
Saoirse Amarteifio ◽  
Todd Fallesen ◽  
Gunnar Pruessner ◽  
Giovanni Sena
Keyword(s):  
Fluorescence Microscopy ◽  
Moving Objects ◽  
Identity Management ◽  
Complex Dynamics ◽  
Time Lapse ◽  
High Temporal Resolution ◽  
Data Sets ◽  
Management Problem ◽  
3D Tracking

AbstractBackgroundParticle-tracking in 3D is an indispensable computational tool to extract critical information on dynamical processes from raw time-lapse imaging. This is particularly true with in vivo time-lapse fluorescence imaging in cell and developmental biology, where complex dynamics are observed at high temporal resolution. Common tracking algorithms used with time-lapse data in fluorescence microscopy typically assume a continuous signal where background, recognisable keypoints and independently moving objects of interest are permanently visible. Under these conditions, simple registration and identity management algorithms can track the objects of interest over time. In contrast, here we consider the case of transient signals and objects whose movements are constrained within a tissue, where standard algorithms fail to provide robust tracking.ResultsTo optimize 3D tracking in these conditions, we propose the merging of registration and tracking tasks into a fuzzy registration algorithm to solve the identity management problem. We describe the design and application of such an algorithm, illustrated in the domain of plant biology, and make it available as an open-source software implementation. The algorithm is tested on mitotic events in 4D data-sets obtained with light-sheet fluorescence microscopy on growing Arabidopsis thaliana roots expressing CYCB::GFP. We validate the method by comparing the algorithm performance against both surrogate data and manual tracking.ConclusionThis method fills a gap in existing tracking techniques, following mitotic events in challenging data-sets using transient fluorescent markers in unregistered images.

scholarly journals Comparison and Evaluation of Integrity Algorithms for Vehicle Dynamic State Estimation in Different Scenarios for an Application in Automated Driving

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1458
Author(s):  
Grischa Gottschalg ◽  
Stefan Leinen
Keyword(s):  
State Estimation ◽  
Measurement Data ◽  
Dynamic State ◽  
Data Sets ◽  
Vehicle Dynamic ◽  
Automated Driving ◽  
Protection Level ◽  
Dynamic State Estimation ◽  
Satellite Signal ◽  
Global Navigation Satellite

High-integrity information about the vehicle’s dynamic state, including position and heading (yaw angle), is required in order to implement automated driving functions. In this work, a comparison of three integrity algorithms for the vehicle dynamic state estimation of a research vehicle for an application in automated driving is presented. Requirements for this application are derived from the literature. All implemented integrity algorithms output a protection level for the position and heading solution. In the comparison, four measurement data sets obtained for the vehicle dynamic state estimation, which is based on a Global Navigation Satellite Signal receiver, inertial measurement units and odometry information (wheel speeds and steering angles), are used. The data sets represent four driving scenarios with different environmental conditions, especially regarding the satellite signal reception. All in all, the Kalman Integrated Protection Level demonstrated the best performance out of the three implemented integrity algorithms. Its protection level bounds the position error within the specified integrity risk in all four chosen scenarios. For the heading error, this also holds true, with a slight exception in the very challenging urban scenario.

scholarly journals Live tracking of moving samples in confocal microscopy for vertically grown roots

eLife ◽  
2017 ◽  
Vol 6 ◽  
Author(s):  
Daniel von Wangenheim ◽  
Robert Hauschild ◽  
Matyáš Fendrych ◽  
Vanessa Barone ◽  
Eva Benková ◽  
...  
Keyword(s):  
Moving Objects ◽  
Root Tip ◽  
Data Sets ◽  
Root Tips ◽  
Arabidopsis Root ◽  
High Resolution Data ◽  
Environmental Signals ◽  
Biological Studies ◽  
Custom Software ◽  
Sample Position

Roots navigate through soil integrating environmental signals to orient their growth. The Arabidopsis root is a widely used model for developmental, physiological and cell biological studies. Live imaging greatly aids these efforts, but the horizontal sample position and continuous root tip displacement present significant difficulties. Here, we develop a confocal microscope setup for vertical sample mounting and integrated directional illumination. We present TipTracker – a custom software for automatic tracking of diverse moving objects usable on various microscope setups. Combined, this enables observation of root tips growing along the natural gravity vector over prolonged periods of time, as well as the ability to induce rapid gravity or light stimulation. We also track migrating cells in the developing zebrafish embryo, demonstrating the utility of this system in the acquisition of high-resolution data sets of dynamic samples. We provide detailed descriptions of the tools enabling the easy implementation on other microscopes.

scholarly journals Slowing and Loss of Complexity in Alzheimer's EEG: Two Sides of the Same Coin?

2011 ◽  
Vol 2011 ◽  
pp. 1-10 ◽  
Author(s):  
Justin Dauwels ◽  
K. Srinivasan ◽  
M. Ramasubba Reddy ◽  
Toshimitsu Musha ◽  
François-Benoît Vialatte ◽  
...  
Keyword(s):  
Low Frequency ◽  
Data Sets ◽  
Relative Power ◽  
Complexity Measures ◽  
Control Subjects ◽  
Low Frequency Power ◽  
And Control ◽  
Two Sides ◽  
Frequency Power ◽  
Stochastic Event

Medical studies have shown that EEG of Alzheimer's disease (AD) patients is “slower” (i.e., contains more low-frequency power) and is less complex compared to age-matched healthy subjects. The relation between those two phenomena has not yet been studied, and they are often silently assumed to be independent. In this paper, it is shown that both phenomena are strongly related. Strong correlation between slowing and loss of complexity is observed in two independent EEG datasets: (1) EEG of predementia patients (a.k.a. Mild Cognitive Impairment; MCI) and control subjects; (2) EEG of mild AD patients and control subjects. The two data sets are from different patients, different hospitals and obtained through different recording systems. The paper also investigates the potential of EEG slowing and loss of EEG complexity as indicators of AD onset. In particular, relative power and complexity measures are used as features to classify the MCI and MiAD patients versus age-matched control subjects. When combined with two synchrony measures (Granger causality and stochastic event synchrony), classification rates of 83% (MCI) and 98% (MiAD) are obtained. By including the compression ratios as features, slightly better classification rates are obtained than with relative power and synchrony measures alone.

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