Automatic Point Research Articles

MASS MEDIA LANGUAGE AND ITS ROLE IN TRANSLATION ACTIVITIES (BASED ON ENGLISH MEDIA TEXTS)

Reporting information by mass media reflects the current state of public and state systems and relations between them. Since modern Western media are sponsored and controlled by large political parties, associations and corporations, and the authors of texts and messages act as conductors of the ideology of these organizations, in modern media texts a purely informative function (impartial news reporting) is increasingly combined with the intention of influencing the audience with the goal of using both purely linguistic and some extra-linguistic means ‒ to form in the addressee’s mind a certain picture of the modern world, at the behest of the ruling elites. In this light, knowledge of socio-political terminology (SPT), as well as of scientific, technical and humanitarian terms, which inevitably penetrate the media, provided that these terms acquire the status of social or political significance, is of particular importance for translators. On becoming generally known, the terms of various branches of scientific knowledge form, within SPT, special microfields which embrace the concepts of statehood, authorities and public order, administrative-territorial structure of the country, its social structure, systems of party and public associations, organizations; cultural life of society; rights and obligations of society members, international relations, institutions, state associations, their political systems, etc. Translators who track and assimilate the vocabulary of these microfields on a regular basis find it much easier to cope with the translation of pertinent texts. In this article particular attention is paid to the English-language newspaper information style: the headlines of publications, lexical and syntactic features of media texts, the modern tendency of mixing the official style with the colloquial one, means of achieving imagery, etc. The article notes an increasing use of evaluative and expressive vocabulary for certain pragmatic purposes. It also emphasizes that for the successful conduct of interpreting activities, translators need to pay special attention to the assimilation and knowledgeable acquisition of set expressions, clichés, their translation equivalents and analogues ‒ all to the point of automaticity.

High-precision detection method for large and complex steel structures based on global registration algorithm and automatic point cloud generation

For extremely large and complicated steel structure buildings, the traditional monitoring method is inefficient and labor-intensive. However, LiDAR and UAV close-range photogrammetry can directly collect data in various large and complex environments, register sites, and fit nodes to monitor and analyze their structures. Taking a long-span steel structure monitoring as an example, this paper introduces the deformation monitoring scheme of steel structure with lidar and unmanned aerial vehicle close-range photogrammetry technology. The method of feature-based global registration is adopted to register the site point cloud. The initial value of feature constraint is taken as the error equation of observation value column, and the overall adjustment is carried out. The spatial transformation parameters and unknown point adjustment values are solved through the bundle adjustment model. Through iterative global registration algorithm, the correction error of observation value is controlled within a certain threshold range through constant constraint weighting and reconciliation of observation value until registration is completed, and the entire grid structure is generated. The eccentricity calculation of the spherical node and column in the grid structure is carried out by using the spherical node multi-link center point algorithm. Then, the dense point cloud generated by the photos taken by UAV close-range photogrammetry and the grid structure generated by LiDAR point cloud are used as mutual references, so that the deformation monitoring of long-span steel structures becomes more detailed and comprehensive.

Energy-Saving Led Lighting System With Parallel Power Supply By Photovoltaic Modules And By Network

The current state of LED lighting systems with parallel power supply by photovoltaic modules and central power supply network is analysed. The approach to implementation of parallel operation of LED luminaire powered by two sources of power is presented. It is simple, cheap and highly reliable as compared to the existing solutions. Based on this approach, four diagrams are developed which are applicable correspondingly to lighting applications and characteristics of photovoltaic modules and power consumers. The first and the second diagrams contain minimal quantity of transformers, but a number of operational constraints shall be taken into account when using them. The third diagram contains standard transformers and implies minimal number of various constraints, which makes it an optimal solution for the low-power lighting system being designed. The fourth diagram is expensive due to utilisation of equipment with automatic maximum power point tracking (the MPPT technology); it provides maximum possible energy efficiency of the lighting systems but the advantages of the MPPT technology apply only to high-power systems. It is preferable to use such objects where lighting is mostly required during daytime as consumers of such systems (shopping malls, underground passages, storage facilities, poultry farms, etc.). A positive aspect is increase in reliability of consumer power supply since power supply of LED luminaires will be also provided by an additional source. The proposed approach leads to reduction of power consumption for LED lighting, saving of fossil energy sources and therefore to ecologisation of the environment.

Development of Smartphone-Based Lateral Flow Device for the Quantification of LH and E3G Hormones

Hormone levels of urinary luteinizing hormone (LH) and Estrone-3-gluconoride (E3G) are key indicators to control reproductive health conditions of women. An “ <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Inito</i> ” device is developed for the lateral flow measurement and is coupled to a smartphone to predict the fertile window by providing a precise estimation of the concentration of these hormones. The image acquisition and data analysis software has been developed on android platform. Lateral flow-based test strips are inserted into the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Inito</i> device and their images are captured and processed using smartphone yielding optical densities representing the concentrations of analytes. A multi-scale algorithm was developed to detect the device and eliminate the variations in resolution and aspect ratio due to smartphone variability. It also provides automatic focus point and appropriate exposure adjustment. Concentration of LH and E3G were quantified by locating and segmenting the respective hormonal lines. The study was validated using a standard clinical lateral flow assay reader. The <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Inito</i> reader yielded a linear correlation of R <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> > 0.99 suggesting a high degree of agreement with the gold standard. In addition, inter-phone repeatability of the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Inito</i> yielded very good correlation. The proposed <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Inito</i> device can be very useful in point of care (PoC) settings.

Accuracy Evaluation and Comparison of Mobile Laser Scanning and Mobile Photogrammetry Data

Mobile mapping systems (MMS) are becoming used in standard geodetic tasks more common in the last years. This paper deals with the accuracy evaluation of two types of data acquired by MMS RIEGL VMX-450, and their comparison. The first type is data from mobile laser scanning (MLS). The second type is mobile photogrammetry data. The new high accurate test point field was built in area of Advanced Materials, Structures and Technologies (AdMaS) research centre that is part of Brno University of Technology. Geodetic network and test point field were measured by Trimble R8s GNSS system and Trimble S8 HP total station. The estimate of the 3D standard deviation determined by an adjustment is 2 mm. The accuracy of MLS and mobile photogrammetry data was tested based on the differences between the coordinates of the points determined from the MMS data and determined by before mentioned high precise measurement. The resulting coordinates from photogrammetric data were determined by manual detection of targets in the images. The estimate of the 3D standard deviation is 0.017 m from the MLS data, and 0.061 m from the mobile photogrammetry data. As we supposed, the mobile laser scanning data are significantly more accurate than mobile photogrammetry data. Achieved accuracy of MLS exceeds the original expectations with respect to the GNSS/IMU positioning accuracy, which is according to the manufacturer RIEGL between 0.02-0.05 m. The same scene is often scanned with multiple scanning passes to ensure high quality of the scanned point cloud, therefore we tested the relative accuracy of mobile laser scanning data from two MMS vehicle passes in the same locality of interest. Two different data sets were evaluated, first data set contains points on roads, second data set on buildings. The standard deviation estimate does not exceed 0.008 m and the maximum absolute deviation does not exceed 0.030 m for both data sets. The difference between the two passes is not significant in comparison with the accuracy criteria required for standard mapping purposes. We also compared automatic point cloud production from photogrammetry data processed in Bentley ContextCapture to the point cloud from laser scanning. The MLS data has been used as a reference because it is significantly more accurate as mentioned before. This comparison was done only on the second data set (buildings). The standard deviation estimate is 0.16 m and the maximum absolute deviation is 0.25 m. Our evaluation contains also statistical testing of outliers and stragglers. In contrast to many authors, we don’t use the simplified approach 3σ rule, and in 1D. We use more exact approach using critical values of the statistics for significance levels α = 5 % and α = 1 % to stragglers and outliers test in 3D.

Digital educational platform as a personnel management tool

External and internal challenges facing the domestic system of vocational education today require structural and managerial changes in professional educational organizations that facilitate the adoption of effective timely management decisions and, at the same time, create conditions for the emergence of initiatives focused on the sustainable development of an educational organization including those related to the professional activities of teachers. The article deals with the management system of the educational process of vocational education from the classical theory of automatic control point of view. The structure of combined management, allowing to implement the management process of the educational organization of vocational secondary education, based on the process management model of the “Deming cycle” principle is proposed. The input and output parameters, control and setting actions are concretized. The implementation of control systems based on subsystems for monitoring the effectiveness of educational and methodological support activities and management, integrated into the digital educational platform of secondary vocational education, is proposed.

Automatic 3D point cloud registration algorithm based on triangle similarity ratio consistency

Three-dimensional (3D) point cloud registration is a fundamental key issue in 3D reconstruction, 3D object recognition and augmented reality. In this study, the authors propose a novel local feature descriptor called local angle statistics histogram (LASH) for efficient 3D point cloud registration. LASH forms a description of local shape geometries by encoding their properties on angles between the normal vector of the point and the vector formed by the point and other points in its local neighbourhood. In addition, they propose a 3D point cloud registration algorithm based on LASH. The registration algorithm firstly detects triangle matching points with consistent similarity ratios, and then aggregates each pair of triangular matching points into a set of matching points. They can use these matching sets to calculate multiple transformations between two point clouds. Finally, they use the error function to identify the best transformation and to achieve coarse alignment of the two point clouds. Experiments and comparisons with other global algorithms demonstrate that the proposed approach can be applied to register point clouds with considerable or limited overlaps and is robust to noise.

Підвищення ефективності регулювання відпуску теплоти в централізованих системах теплопостачання

Ensuring optimal hydraulic and thermal regimes in district heating systems (DHS) in the regulation of heat supply is an important factor in improving the energy and economic efficiency of DHS. In addition, high efficiency of the HS system is a factor that can ensure the preservation of its vital functions. Solving the problem of increasing the energy efficiency of the heat supply system is a complex problem that requires changes at all stages of heat transformation: in the energy source, heating networks and subscriber heating systems of heat consumers. The purpose of this study is to identify the impact of heat dissipation control processes in district heating systems on their energy and economic efficiency, provide recommendations for improving control processes taking into account modern challenges and regulatory requirements, analyze heat dissipation temperature schedules and select the optimal temperature schedule. It is shown that the optimal is the combined quantitative and qualitative regulation of heat release, which should be carried out both at the energy source and at consumers. The paper considers the possibility of using combined control systems in the existing district heating systems of Ukrainian cities. It is shown that the achievement of high energy efficiency is possible only with the introduction of automatic individual heating points with weather control and pressure drop regulators at the inlet to the buildings in the subscriber heating systems. Calculations of the amount of heat consumption reduction of centralized heat supply systems with the introduction of optimal control systems are performed.

Investigation on applied automatic monitoring of deep foundation-pit projects

A deep foundation-pit project in Shenzhen is studied for the application of automatic monitoring in the construction of deep foundation pit. Based on the analysis results of a three-dimensional finite element model implements with the MADIS GTS software, nine monitoring items and 59 automatic monitoring points are arranged in the key areas of the foundation pit, to monitor in real time the pit-top horizontal displacement, pit-top settlement, column pile settlement, groundwater level, horizontal displacement of deep layer, axial force in the supporting structure, anchor-cable stress, and settlement and cracks of the surrounding buildings. Based on the results of automatic monitoring, the patterns of variation are discussed of the data of the monitored items, and the accuracy and data stability are analyzed of the monitoring sensors such as measuring robot, hydrostatic level and crack gauge. The results show that: the key areas of automatic monitoring determined by the three-dimensional finite element model are in good agreement with the actual situation on site; Under the given conditions, the sensors such as measuring robot, hydrostatic level and crack gauge can meet the required monitoring accuracy, and the measured data has high stability; in addition, the sensor value is closely related to the ambient temperature. These results can provide reference for similar projects.

Research on the State Detection Method of Automatic Instrument Equipment Based on Construction Engineering

Nowadays, people’s demand for industrial products is increasing while the demand for quality is also higher, so each enterprise is changing the traditional manual operation equipment into automatic equipment so that the production capacity and product quality can meet the current social demand. And the development of computer technology has provided us with such convenience. Automatic instrument based on computer technology and equipment status detection can ensure the safety and normal operation of the equipment to the maximum extent. First of all, the device can determine whether there is a problem through self-diagnosis, and then the detection system needs to use PLC system or DCS system to complete the comprehensive analysis of the data. Then, the automatic point inspection system will track the equipment in real time and analyze the processing method. This paper studies the application of the state detection method of automated instrumentation equipment in construction engineering, so as to provide reference help for the implementation of construction projects.

Automatic point cloud registration method of subway tunnels based on reflection intensity images

Automatic point cloud registration method of subway tunnels based on reflection intensity images

Підхід щодо розміщення реклоузерів в розподільних мережах

Today, the electricity supplier is not able to declare the possible level of reliability of electricity supply, and the consumer simply does not have the opportunity to buy such “reliable” electricity. In such conditions, a differentiated approach to tariff formation is inevitable, which has been implemented in practice today, albeit in its infancy. Further improvement of the tariff-forming mechanism is impossible without creating a "flexible" dependence of the tariff on the indicators of the consumer's power supply reliability. Reliability indicators, in turn, are based, on the one hand, on the methods and approaches for their determination, and on the other, on statistically reliable data on the reliability of the elements that make up the equipment in the "generation-consumer" chain. Localization by automatic sectioning points at the design stage in the context of RAB tariff setting (incentive tariff setting) ensures the target nature of reducing SAIDI (index of average duration of outages in the system) and, as a result, assessing the possibility of achieving the target ENS (estimated volume of non-supplied electrical energy) significantly reduces the cost of network design and reconfiguration. In this regard, it is necessary to revise the state and topology of problem networks, including the operated partitioning hardware; to define support services in the energy company; be trained in software (for example, TELARM) as a design tool; to create the standards of the company (group of companies), taking into account the experience of colleagues from Moldova, the Security Council, the Baltic States, far abroad. As part of a scientific search, an approach was proposed, which is the basis for calculations to determine the optimal installation locations for automatic sectioning points for an average air line, as well as a parallel-serial air line with "targeted" automatic reserve input, corresponding to the optimal SAIDI value. The results obtained are presented in the framework of a joint technical meeting of leading specialists of operating enterprises, the customer and the staff of the Department of Power Supply named after A. V.M. Sinkova NULES of Ukraine.

Automatic point cloud registration algorithm based on the feature histogram of local surface.

In this paper, we present an efficient algorithm for point cloud registration in presence of low overlap rate and high noise. The proposed registration method mainly includes four parts: the loop voxel filtering, the curvature-based key point selection, the robust geometric descriptor, and the determining and optimization of correspondences based on key point spatial relationship. The loop voxel filtering filters point clouds to a specified resolution. We propose a key point selection algorithm which has a better anti-noise and fast ability. The feature descriptor of key points is highly exclusive which is based on the geometric relationship between the neighborhood points and the center of gravity of the neighborhood. The correspondences in the pair of two point clouds are determined according to the combined features of key points. Finally, the singular value decomposition and ICP algorithm are applied to align two point clouds. The proposed registration method can accurately and quickly register point clouds of different resolutions in noisy situations. We validate our proposal by presenting a quantitative experimental comparison with state-of-the-art methods. Experimental results show that the proposed point cloud registration algorithm has faster calculation speed, higher registration accuracy, and better anti-noise performance.

The effect of the sequence of image distortion correction on the accuracy of connection point generation

In this paper, the UAV photogrammetry data of two hills and two flat sampling areas are selected. The image data are processed by pixel Grid software through different operation methods, and the effect of the two methods is compared. The results show that: after the distortion correction, the image is rotated manually or the flight angle in the pos data is directly changed, which has no obvious effect on the error in the number of iterations of the automatic connection point. When the distortion correction is not corrected, the photo is rotated, and the angle of the Omega, Phi and Kappa angles is obtained from the UAV autopilot system, and makes the corner element higher precision when the automatic connection point is generated. Add Kappa to the POS data by 90, and then correct distortion at the same time choice of rotating pictures; Set the Omega, Phi is 0, Kappa angle from the IMU, this method avoids the influence of the angle deviation caused by the tilt or jitter of the flight process, so it is better to line elements when the automatic connection point is generated.

Receta práctica paso a paso para construir dendrómetros de punto de bajo costo

Automatic point dendrometers are measuring equipment used in forestry to measure variations in the stem of trees in high spatial and temporal resolution. This information has a high level of detail and is relevant to assess the factors and conditions governing the contraction, expansion and growth of stems. This is due to balances of water content in the stem and cell division of the cambium. Variations of climate, competition for resources and human activity may influence the growth of the stem. This work proposes the step-by-step construction of a point dendrometer at a lower cost than would imply the acquisition of commercial equipment. For this, a series of component elements is listed, as well as the assembly procedure and calibrations carried out by the workgroup, and the comparative tests with commercial dendrometers. Preliminary results show it is feasible to assemble dendrometers from their component parts and that there is a similarity of records between developed and commercial equipment. This may allow large-scale phenotyping of the stem growth, at a significantly lower cost than acquiring commercial equipment.

AUTOMATIC GROUND EXTRACTION FOR URBAN AREAS FROM AIRBORNE LIDAR DATA

Terrain models play a key role in many applications, such as hydrological modeling, volume calculation, wire and pipeline route planning as well as many engineering applications. While terrain models can be generated from traditional data sources, an advanced and recently popular geospatial technology, Light Detection and Ranging (LiDAR) data, is also a source for generating high-density terrain models in the last decades. The main advantage of LiDAR technology over traditional data sources is that it generates 3D point clouds directly so that the representation of the surfaces is obtained fast. On the other hand, before terrain modeling, ground points need to be extracted by point labeling in the 3D point cloud. In this study, a new algorithm is proposed for automatic ground point extraction from airborne LiDAR data for urban areas. The proposed algorithm is mainly based on height information of the points in the dataset and labels ground points comparing height differences in local windows. The algorithm does not require any user input threshold and a neighborhood definition. The proposed ground extraction algorithm was tested with three different urban area LiDAR data. The quality control basically performed qualitatively by visual inspection and quantitatively by calculation of overall accuracy, which is conduct by comparing the proposed algorithm results with data provider’s ground classification and Cloth Simulation Filtering (CSF) algorithm’s results. The overall accuracy of the proposed algorithm is found between 95%-98%. The experimental results showed that the algorithm promises reliable results to extract ground points from airborne LiDAR data for urban areas.

Метод попереднього планування безпроводової локальної мережі стандарту IEEE 802.11

Examines various approaches of planning in the design of wireless network standard IEEE802.11 inthe premises. The article gives formulas and the calculation method of tasks a fixed number of users on point, and the results of simulation designing Wi-Fi network based on the program D-Link Wi-Fi Planner Pro. The program is designed for the initial analysis of the floor plan with the aim of placing it on the access points Wi-Fi. She focused on the use of the equipment D-Link, to allow for the different room settings, in particular, not only the actual floor space, but the type, material and number of partitions. In addition, D-Link Wi-Fi Planner Pro allows you to conduct calculations similar to automatic access point placement or manual. When the AP placement is very important to determine what materials are made of walls, floors, structural elements and furniture in the room, and had given this to hold equipment placement and selection of antennas to be used with access points. Keep in mind that the effective distance has a value, which will decrease the radius of action after the passage of the relevant obstacles compared to open space, and the fact that the signal decreases proportional to the square of the distance, so speed comes naturally as the distance from the access point. D-Link Wi-Fi Planner Pro showed that the audience need to install 1 (2.4 GHz) access point and 3 (in the 5 GHz band) to provide a coating with a signal level not worse than -65 dBm (for providing students with only Internet access). As can be seen, results of analytical and simulation planning only partially coincide, so when planning Wi-Fi networks need to plan the placement of access points with specialized software, not forgetting to reduce the power of each of the access points to the power level of the WiFi chip built into the tablet student.

Analysis of Text Collections for the Purposes of Keyword Extraction Task

The article discusses the evaluation of automatic keyword extraction algorithms (AKEA) and points out AKEA’s dependence on the properties of the test collection for effectiveness. As a result, it is difficult to compare different algorithms who’s tests were based on various test datasets. It is also difficult to predict the effectiveness of different systems for solving real-world problems of natural language processing (NLP). We take in to consideration a number of characteristics, such as the text length distribution in words and the method of keyword assignment. Our analysis of publicly available analytical exposition text which is typical for the keywords extraction domain revealed that their length distributions are very regular and described by the lognormal form. Moreover, most of the article lengths range between 400 and 2500 words. Additionally, the paper presents a brief review of eleven corpora that have been used to evaluate AKEA’s.

Accuracy of multimodal image fusion for oral and maxillofacial tumors: A revised evaluation method and its application

ObjectiveTo develop a revised evaluation method for accuracy of multimodal image fusion for oral and maxillofacial tumors and explore its application for comparing the accuracy of three commonly used fusion algorithms, automatic fusion, manual fusion, and registration point–based fusion. Materials and methodsImage sets of patients with oral and maxillofacial tumor were fused using the iPlan 3.0 navigation system. Fusion accuracy included two aspects: (1) overall fusion accuracy: represented by the mean value of the coordinate differences along the x-, y-, and z- axes (Δx, Δy, and Δz), mean deviation (MD), and root mean square (RMS) of six pairs of landmarks on the two image sets; (2) tumor volume fusion accuracy: represented by Fusion Index (FI), which was calculated based on the volume of tumor delineated on the two image sets. ResultsEighteen pairs of image sets of 17 patients were enrolled in this study. The Δx and Δy values for the three algorithms were less than 1.5 mm. The Δz values for automatic fusion, manual fusion and registration point–based fusion was 1.049 mm, 1.864 mm and 1.254 mm. The MD for automatic fusion, manual fusion and registration point–based fusion was 1.978 mm, 2.788 mm and 1.926 mm. Significant differences existed in Δz for manual fusion and that for automatic fusion (P = 0.058), in MD for manual fusion and that for automatic fusion (P = 0.087), and in MD for manual fusion and that for registration point–based fusion (P = 0.069). The FI for automatic fusion, manual fusion, and registration point–based fusion was 0.594, 0.520, and 0.549; the inter-algorithm differences were not significant (P = 0.290). ConclusionThe automatic fusion and the registration point–based fusion were more accurate than manual fusion, and therefore were recommended to be used in multimodal image fusion for oral and maxillofacial tumors.

P1010Association between left atrial fibrosis detected by cardiac magnetic resonance and endocardial electroanatomic mapping in the evaluation of the electrophysiological substrate in atrial fibrillation

Abstract Background Atrial fibrillation (AF) is related to left atrial fibrosis, but its identification by late magnetic resonance imaging (LGE) with gadolinium (LGE) persists in controversy due to heterogeneous results in its correlation with the electroatomic map (EAM) and the difficulty of perform histological studies in humans. Purpose We try to examine the point-by-point association between high density EAM and LGE-MRI using an automatic and reproducible method. Methods A LGE-MRI was performed in 16 patients prior to ablation. Three different areas were established depending on the intensity of normalized enhancement for each patient according to their blood group with the image intensity ratio (IIR) (healthy &amp;lt;1.20, border area (BZ) ≥1.20 &amp;lt;1.32 and scar ≥1.32). The high density electroanatomic maps of the left atrium (LA) were projected onto the MRI, obtaining an automatic correlation point by point. Results The study obtained significant differences (p &amp;lt; 0.001) between voltage (mV) and CV (mm/ms) among healthy, BZ and scar areas, as well a significant inverse correlation (p &amp;lt; 0.001) between voltage and IIR (R=-0.39). It obtained too a significant correlation between CV and IIR (R=-0.24), but this showed a greater correlation in those patients who have the least dilated LA (p = 0.02). Conclusions LGE-MRI and EAM showed good correlation in delineating potential pathologic substrate in AF, but left atrium dilation could reduce the performance of the CMR in this task. Conduction velocity could be more sensitive than voltage and LGE-MRI to detect incipient substrate in AF. Voltage and conduction velocity values Area /IIR Velocity (mm/ms) Voltage (mV) I / &amp;lt;.20 1.036(0.913-1.158) 1.593(1.489-1.696) 2 / ≥1.20 and &amp;lt;1.32 0.722(0.590-0.850) 0.792 (0.649-0,935) 3 / ≥1.32 0.623(0.473-0,733) 0.444(0.245-0.642) Voltage and conduction velocity values in the three areas of the LGE-RMN. Abstract Figure. Correlation among voltage, VC and LA