Path loss modeling of millimeter waves is regarded as one the most challenging problems in design fifth-generation (5G) mobile communication networks due to high susceptibility various environmental influences. We present a novel convolutional neural network (CNN)-based path method based on set 28 GHz mmWave field measurements suburban scenarios. Enhanced local area multi-scanning (E-LAMS) algorithm that provides CNN with information proposed. A new structure four subnetworks and...

An accurate and efficient path loss modeling method for millimeter wave communications plays a significant role in the large-scale deployment of fifth-generation (5G) mobile communication system. Conventional methods such as deterministic methods, empirical machine learning-based practice, cannot achieve desired level performance terms accuracy. This paper proposes novel model 5G suburban scenarios using deep learning with dilated convolution attention. Dilated is used to alleviate locality...

In order to get the train safety protection curve, a locating method is proposed based on GPS <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[1]</sup> (global positioning system)/INS xmlns:xlink="http://www.w3.org/1999/xlink">[2]</sup> (inertial navigation)/RFID xmlns:xlink="http://www.w3.org/1999/xlink">[3]</sup> (radio frequency identification). Longitude, latitude, speed, heading obtained by and inertial navigation calculating. RFID stored...

Deep learning has become one of the most powerful prediction approaches, and it can be used to solve classification regression problems. We present a novel deep learning-based indoor Wi-Fi path loss modeling approach. Specifically, we propose local area multi-line scanning algorithm that generates input images based on measurement locations floor plan. As contain information regarding propagation environment between fixed access points (APs) locations, convolutional neural network (CNN)...

Map-matching is an important component in pedestrian navigation. The proliferation of navigation applications being limited by the severe inaccuracies current GPS available on smartphones, especially dense urban areas where distance between neighboring streets and alleys smaller than typical error range. Although map-matching methods based HMM are considered as a practical approach for correction, there exist few issues to be addressed before wide-scale deployment can made. In this paper, we...

Abstract Low‐cost global positioning system (GPS) receivers installed in most vehicles and smart devices typically display tens of meters error their location data. A large amount research effort has been made to increase the accuracy GPS mostly by reducing errors with help auxiliary and/or methodologies such as differential GPSs, assisted real‐time kinematic positioning, computer vision, etc, which result a certain cost increase. In this paper, we propose new cooperative vehicular...

Abstract

Convolutional Neural Networks (CNNs) have shown surprisingly good performance in both classification and regression problems. Given a floor plan of building indoor measurement data Wi-Fi received signal strength (RSS) at discrete locations, CNN can be trained to approximate the underlying functions path loss. In this article, we propose novel CNN-based loss modeling approach. Based on data, input images are generated for training CNN, which make predictions RSS 5 GHz an usage scenario....

According to the actual needs of modern intelligent building, this paper introduces a meter reading system based on Nios II, which used field programmable gate array FPGA EP2C35 and wireless transceiver chip nRF905 then finished design automatic building. At same time, it put forward hardware structure software process, customized soft core processor different peripheral interface controllers, established RS232 communication protocol, at last implemented many functions electricity including...

The self-assembly of CsPbBr 3 quantum dots from nanosphere to nanocube endows them with adjustable photoluminescence, achieving efficient active jamming optical imaging systems based on charge coupled devices.

The optical rotational Doppler effect associated with orbital angular momentum provides a new means for velocity detection. In this paper, we investigate the influence of atmospheric turbulence on effect. First, deduce generalized formula shift in by mode decomposition. It is found that signal frequency spectrum will be broadened, and bandwidth related to intensity. addition, as propagation distance increases, also increases. And when <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"...

Abstract The cyclization reactions of 2,3-allenoic acids or their salts with optically active bases affording butenolides are discussed. Two reaction pathways were observed: (1) intermolecular carbometallation-intramolecular allylation; (2) cyclic oxymetallation-reductive elimination. High efficiency chirality transfer was realized the latter case.

Map-matching is a core functionality of pedestrian navigation applications. The localization errors the global positioning systems (GPSs) in smartphones are one most critical factors that limit large-scale deployment applications, especially dense urban areas where multiple road segments exist within range GPS errors, which can be increased by tall buildings neighboring each other. In this paper, we address two issues practical importance for map-matching based on Hidden Markov Model (HMM)...

Orbital angular momentum (OAM) is a property of light that can be used to increase the capacity optical communications. However, due effect beam offset, performance detection method orbital may affected. In order solve this problem, paper proposes an state based on partial convolutional neural network. The firstly preprocesses received signal, and then uses network extract classify features, so as realize state. Due characteristics network, effectively detect vortex in case incomplete...

Traditional low-cost GPS installed on vehicles and other equipment has a tolerance of tens meters. With the help auxiliary devices and/or methodologies such as Differential GPSs (DGPSs), Assisted (AG-PSs), Real-Time Kinematic (RTK), computer vision etc., positioning accuracy receivers increased lot, but certain amount cost at same time. In this paper, we propose new cooperative vehicular localization scheme for improving fixes based Vehicle-to-vehicle (V2V) communication. The proposed first...

Aiming at the problem that atmospheric laser communication is easily affected by turbulence, which will lead to degradation of quality, RNN and LSTM were established based on deep learning predict refractive index structure constant, one most important parameters turbulence. Based it, reference for selection channels can be provided avoid waste channel resources. Three statistical values average absolute error, root mean square error correlation coefficient used analyze prediction results....

The physical meaning of site classification is not clear in the current seismic design code for buildings, at same time, boundary easy to cause divergence ground motion parameters. For above problems and deficiencies, some suggestions are given. To solve problem that clear, on basis method, according index such as covering layer thickness equivalent shear wave velocity, sites classified by two-level: first level consistent with one, which classifies based fundamental period overburden layer;...

In present work, the effects of alloying elements X (X = Zn, Zr and Ag) doping on phase stability, elastic properties, anisotropy Debye temperature Al3Li were studied by first-principles method. Results showed that pure doped can exist be stable at 0 K. Zn Ag preferentially occupy Al sites tend to Li sites. All Cij obey mechanical stability criteria, indicating these compounds. The overall decreases in following order: Al23Li8Ag &gt; Al23Li8Zn Al24Li7Zr, which shows addition has a positive...