Bibliografías temáticas / PATH-LOSS MODEL

Literatura académica sobre el tema "PATH-LOSS MODEL"

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Publicado: 11 de septiembre de 2023

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Artículos de revistas sobre el tema "PATH-LOSS MODEL"

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Rayar, Vijay. "A Novel Indoor Path Loss Model based on Path Loss Exponent (PLE) Computational Approach". Journal of Advanced Research in Dynamical and Control Systems 12, SP7 (25 de julio de 2020): 1170–78. http://dx.doi.org/10.5373/jardcs/v12sp7/20202217.

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Elechi, Promise y Paul Osaretin Otasowie. "Comparison of Empirical Path Loss Propagation Models with Building Penetration Path Loss Model". International Journal on Communications Antenna and Propagation (IRECAP) 6, n.º 2 (30 de abril de 2016): 116. http://dx.doi.org/10.15866/irecap.v6i2.8013.

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Bilgehan, Bülent y Stephen Ojo. "Multiplicative based path loss model". International Journal of Communication Systems 31, n.º 17 (16 de agosto de 2018): e3794. http://dx.doi.org/10.1002/dac.3794.

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Iwuji, P. C. "PERFORMANCE ANALYSIS AND DEVELOPMENT OF PATH LOSS MODEL FOR TELEVISION SIGNALS IN IMO STATE, NIGERIA". Eurasian Physical Technical Journal 20, n.º 2 (44) (21 de junio de 2023): 87–98. http://dx.doi.org/10.31489/2023no2/87-98.

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It is impossible to overstate the importance of propagation models in wireless network planning, frequency assignment, and television parameter evaluation. The fact that no two locations are identical in terms of climatic conditions, building patterns, terrain, etc. makes using path loss predicting models for any area extremely challenging. Therefore, it is impossible to develop a single path loss model that applies to all environmental settings. The main aim of this study is to develop a path loss model for NTA channel 12 Owerri and evaluate its performance based on received signal strength values along five selected routes in Imo State, Nigeria.A suitable path loss model was developed by critically analyzing the measured path loss values of each base station, which were retrieved from the signal strength data received. The values of the developed path loss model were compared to those of other empirical path loss models developed by other researchers as well as the measured path loss values. The results show that the proposed path loss model is well suited for predicting the path loss of NTA channel 12 Owerri signals in the study environment, while the other conventional empirical models taken into consideration in this study overestimated the path loss of NTA channel 12 Owerri signals with Root Mean Square Error and Mean Error of 63.65 and above. Additionally, the findings indicate that NTA Owerri performs poorly at a distance of 18 kilometers from the base transmitting station. The overall findings are helpful for designing prospective television network channels in the study location and other similar environments.
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Lee, Jun-Hyun, Dong-Hyung Lee, Hong-Sik Keum y Heung-Gyoon Ryu. "Path Loss Model with Multiple-Antenna". Journal of Korean Institute of Electromagnetic Engineering and Science 25, n.º 7 (31 de julio de 2014): 747–56. http://dx.doi.org/10.5515/kjkiees.2014.25.7.747.

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6

Har, D., H. H. Xia y H. L. Bertoni. "Path-loss prediction model for microcells". IEEE Transactions on Vehicular Technology 48, n.º 5 (1999): 1453–62. http://dx.doi.org/10.1109/25.790520.

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7

Suman, Suraj, Sidharth Kumar y Swades De. "Path Loss Model for UAV-Assisted RFET". IEEE Communications Letters 22, n.º 10 (octubre de 2018): 2048–51. http://dx.doi.org/10.1109/lcomm.2018.2863389.

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Karttunen, Aki, Mikko Valkama y Jukka Talvitie. "Influence of Noise-Limited Censored Path Loss on Model Fitting and Path Loss-Based Positioning". Sensors 21, n.º 3 (2 de febrero de 2021): 987. http://dx.doi.org/10.3390/s21030987.

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Positioning is considered one of the key features in various novel industry verticals in future radio systems. Since path loss (PL) or received signal strength-based measurements are widely available in the majority of wireless standards, PL-based positioning has an important role among positioning technologies. Conventionally, PL-based positioning has two phases—fitting a PL model to training data and positioning based on the link distance estimates. However, in both phases, the maximum measurable PL is limited by measurement noise. Such immeasurable samples are called censored PL data and such noisy data are commonly neglected in both the model fitting and in the positioning phase. In the case of censored PL, the loss is known to be above a known threshold level and that information can be used in model fitting and in the positioning phase. In this paper, we examine and propose how to use censored PL data in PL model-based positioning. Additionally, we demonstrate with several simulations the potential of the proposed approach for considerable improvements in positioning accuracy (23–57%) and improved robustness against PL model fitting errors.
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9

Seong, Ju-Hyeon, Teak-Gu Gwun, Seung-Hee Lee, Jeong-Woo Kim y Dong-hoan Seo. "Radio map fingerprint algorithm based on a log-distance path loss model using WiFi and BLE". Journal of the Korean Society of Marine Engineering 40, n.º 1 (31 de enero de 2016): 62–68. http://dx.doi.org/10.5916/jkosme.2016.40.1.62.

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Chen, Jie, Dong Ya Shen, Na Yao y Ren Zhang. "3-D Research about Walfisch-Bertoni Model". Applied Mechanics and Materials 385-386 (agosto de 2013): 1527–30. http://dx.doi.org/10.4028/www.scientific.net/amm.385-386.1527.

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Walfisch - Bertoni model is used to predict the average signal field intensity of the main street. The model considers the path loss of the free space, diffraction loss along the path, and the influence of the height of the building. There are six City parameters in Walfisch - Bertoni model influence communication quality. In this paper, the researches about path loss and its characteristics is under the case of considering two city parameters at the same time. Facts have proved that this case is more close to the actual that the wireless signal propagation environment. This paper mainly researched the path loss, probability density function (PDF) and cumulative distribution function (CDF) of the path loss.
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Tesis sobre el tema "PATH-LOSS MODEL"

1

Ambarkutuk, Murat. "A Grid based Indoor Radiolocation Technique Based on Spatially Coherent Path Loss Model". Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/80405.

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This thesis presents a grid-based indoor radiolocation technique based on a Spatially Coherent Path Loss Model (SCPL). SCPL is a path loss model which characterizes the radio wave propagation in an environment by solely using Received Signal Strength (RSS) fingerprints. The propagation of the radio waves is characterized by uniformly dividing the environment into grid cells, followed by the estimation of the propagation parameters for each grid cell individually. By using SCPL and RSS fingerprints acquired at an unknown location, the distance between an agent and all the access point in an indoor environment can be determined. A least-squares based trilateration is then used as the global fix of location the agent in the environment. The result of the trilateration is then represented in a probability distribution function over the grid cells induced by SCPL. Since the proposed technique is able to locally model the propagation accounting for attenuation of non-uniform environmental irregularities, the characterization of the path loss in the indoor environment and radiolocation technique might yield improved results. The efficacy of the proposed technique was investigated with an experiment comparing SCPL and an indoor radiolocation technique based on a conventional path loss model.
Master of Science
This thesis presents a technique uses radio waves to localize an agent in an indoor environment. By characterizing the difference between transmitted and received power of the radio waves, the agent can determine how far it is away from the transmitting antennas, i.e. access points, placed in the environment. Since the power difference mainly results from obstructions in the environment, the attenuation profile of the environment carries a significant importance in radiolocation techniques. The proposed technique, called Spatially Coherent Path Loss Model (SCPL), characterizes the radio wave propagation, i.e. the attenuation, separately for different regions of the environment, unlike the conventional techniques employing global attenuation profiles. The localization environment is represented with grid-cell structure and the parameters of SCPL model describing the extent of the attenuation of the environment are estimated individually. After creating an attenuation profile of the environment, the agent localizes itself in the localization environment by using SCPL with signal powers received from the access points. This scheme of attenuation profiling constitutes the main contribution of the proposed technique. The efficacy and validity of the proposed technique was investigated with an experiment comparing SCPL and an indoor radiolocation technique based on a conventional path loss model.
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2

Rowe, Christopher D. "Channel Propagation Model for Train to Vehicle Alert System at 5.9 GHz using Dedicated Short Range Communication". Thesis, Virginia Tech, 2016. http://hdl.handle.net/10919/73178.

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The most common railroad accidents today involve collisions between trains and passenger vehicles at railroad grade crossings [1][2]. Due to the size and speed of a train, these collisions generally result in significant damage and serious injury. Despite recent efforts by projects such as Operation Lifesaver to install safety features at grade crossings, up to 80% of the United States railroad grade crossings are classified as 'unprotected' with no lights, warnings, or crossing gates [2]. Further, from January to September 2012, nearly 10% of all reported vehicle accidents were a result of train-to-vehicle collisions. These collisions also accounted for nearly 95% of all reported fatalities from vehicular accidents [2]. To help provide a more rapidly deployable safety system, advanced dedicated short range communication (DSRC) systems are being developed. DSRC is an emerging technology that is currently being explored by the automotive safety industry for vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications to provide intelligent transportation services (ITS). DSRC uses WAVE protocols and the IEEE 1609 standards. Among the many features of DSRC systems is the ability to sense and then provide an early warning of a potential collision [6]. One potential adaption for this technology is for use as a train-to-vehicle collision warning system for unprotected grade crossings. These new protocols pose an interesting opportunity for enhancing cybersecurity since terrorists will undoubtedly eventually identify these types of mass disasters as targets of opportunity. To provide a thorough channel model of the train to vehicle communication environment that is proposed above, large-scale path loss and small scale fading will both be analyzed to characterize the propagation environment. Measurements were collected at TTCI in Pueblo Colorado to measure the received signal strength in a train to vehicle communication environment. From the received signal strength, different channel models can be developed to characterize the communication environment. Documented metrics include large scale path loss, Rician small scale fading, Delay spread, and Doppler spread. An analysis of the DSRC performance based on Packet Error Rate is also included.
Master of Science
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3

Niu, Kayla, Asif Shahidullah, Andrea Bilarasau, James Ringle, Michaelina Sorrell y Luke Zurmehly. "A Low Cost Open-Air Tracking System Based on an Empirical Path-Loss Model". International Foundation for Telemetering, 2015. http://hdl.handle.net/10150/596380.

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ITC/USA 2015 Conference Proceedings / The Fifty-First Annual International Telemetering Conference and Technical Exhibition / October 26-29, 2015 / Bally's Hotel & Convention Center, Las Vegas, NV
Tracking small marmosets over a large area represents a significant challenge for researchers. The native habitat for such animals are generally unsuitable for GPS based location systems, and the size of the animals prevents large, feature-rich collars from being utilized. Additionally, costs and feasibility prevent researchers from continuously monitoring these animals on the ground. This paper proposes a new system of tracking that offsets complexity from the collar onto fixed Base Stations (BS). The simplified collars emit a ping that multiple BSs then log along with the power of the signal. Combining the data from different BSs allows for the determination of the Signal of Interest (SOI). It was found that using three BSs provided enough accuracy to determine the location of an SOI within an accuracy of 2 m² over a roughly 450 m² area.
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Liechty, Lorne Christopher. "Path Loss Measurements and Model Analysis of a 2.4 GHz Wireless Network in an Outdoor Environment". Thesis, Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/16308.

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Careful network planning has become increasingly critical with the rising deployment, coverage, and congestion of wireless local area networks (WLANs). This thesis outlines the achieved prediction accuracy of a direct-ray, single path loss exponent, adapted Seidel-Rappaport propagation model as determined through measurements and analysis of the established 2.4 GHz, 802.11g outdoor WiFi network deployed on the campus of the Georgia Institute of Technology. Additionally, the viability of using the obtained model parameters as a means for planning future network deployment is discussed. Analysis of measured data shows that accurate predictive planning for network coverage is possible without the need for overly complicated modeling techniques such as ray tracing. The proposed model performs with accuracy comparable to other commonly accepted, more complicated models and is offered as a simple, yet strong predictive model for network planning having both speed and accuracy. Results show, that for the area under study, the standard deviation of the prediction error for the proposed model is below 6.8dB in all analyzed environments, and is approximately 5.5dB on average. Further, the accuracy of model predictions in new environments is shown to be satisfactory for network planning.
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5

Almalki, Faris Abdullah E. "Optimisation of a propagation model for last mile connectivity with low altitude platforms using machine learning". Thesis, Brunel University, 2017. http://bura.brunel.ac.uk/handle/2438/16177.

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Our related research review on propagation models reveals six factors that are significant in last mile connectivity via LAP: path loss, elevation angle, LAP altitude, coverage area, power consumption, operation frequency, interference, and antenna type. These factors can help with monitoring system performance, network planning, coverage footprint, receivers' line-of-sight, quality of service requirements, and data rates which may all vary in response to geomorphology characteristics. Several competing propagation models have been proposed over the years but whilst they collectively raise many shortcomings such as limited altitude up to few tens of meters, lack of cover across different environments, low perdition accuracy they also exhibit several advantages. Four propagation models, which are representatives of their types, have been selected since they exhibit advantages in relation to high altitude, wide coverage range, adaption across different terrains. In addition, all four have been extensively deployed in the past and as a result their correction factors have evolved over the years to yield extremely accurate results which makes the development and evaluation aspects of this research very precise. The four models are: ITU-R P.529-3, Okumura, Hata-Davidson, and ATG. The aim of this doctoral research is to design a new propagation model for last-mile connectivity using LAPs technology as an alternative to aerial base station that includes all six factors but does not exhibit any of the shortcomings of existing models. The new propagation model evolves from existing models using machine learning. The four models are first adapted to include the elevation angle alongside the multiple-input multiple-output diversity gain, our first novelty in propagation modelling. The four adapted models are then used as input in a Neural Network framework and their parameters are clustered in a Self-Organizing-Map using a minimax technique. The framework evolves an optimal propagation model that represents the main research contribution of this research. The optimal propagation model is deployed in two proof-of-concept applications, a wireless sensor network, and a cellular structure. The performance of the optimal model is evaluated and then validated against that of the four adapted models first in relation to predictions reported in the literature and then in the context of the two proof-of-concept applications. The predictions of the optimised model are significantly improved in comparison to those of the four adapted propagation models. Each of the two proof-of-concept applications also represent a research novelty.
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6

Duong, Le. "A model to predict the coverage of VHF transmissions". Thesis, Linköpings universitet, Fysik och elektroteknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-118574.

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VHF står för "Very High Frequency" och är ett frekvensband som ligger i området 30 - 300 MHz. Maritim VHF är standard för Sjöfartsverket och fungerar över hela världen. Det är ett kommunikationssystem som bidrar till ökad säkerhet och kan rädda liv på sjön. Andra vanliga kommunikationssystem som mobiltelefoni fungerar inte tillförlitligt. Idag fungerar mobiltelefoni i stora delar av skärgården och längs kusterna men när det gäller kommunikation mellan fartyg längre ut till havs är den maritima VHF-kommunikationen överlägsen. Sjöfartsverket driver för sitt eget och kunders behov ett mobilradionätverk kallat kustradionätverket. Radiotrafiken i nätet sker både på Very High Frequency (VHF) och Medium frequency (MF). VHF-systemet är ett internationellt system som bland annat används till att kommunicera till sjöss och den trafiken befinner sig i frekvensbandet 155.5 - 162.025 MHz. Inom VHF-bandet finns det 55 kanaler. Kanalerna vid kustradiostationen kallas för duplexkanaler och innebär att kustradiostationerna sänder och tar emot signaler på två olika frekvenser. Radioutbredningen hos antennen som är installerad på basstationen har riktverkan i vissa riktningar och dämpningar i andra. Detta kan ses i strålningsdiagrammet under kapitlet "Täckningsmodell" och avsnittet antennen. Andra faktorer som kan påverka radioutbredningen är förluster i basstationenssystemet, topologin hos området mellan sändare och mottagare samt väderberoende utbredningsegenskaper. Genom att hitta de tänkbara faktorer som påverkar signalutbredningen kan en täckningsmodell förutses. Det är förluster som finns i basstationen, radiolänken samt förluster vid mottagarantennen.
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7

Li, Zeyuan. "Target localization using RSS measurements in wireless sensor networks". Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/31356.

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The subject of this thesis is the development of localization algorithms for target localization in wireless sensor networks using received signal strength (RSS) measurements or Quantized RSS (QRSS) measurements. In chapter 3 of the thesis, target localization using RSS measurements is investigated. Many existing works on RSS localization assumes that the shadowing components are uncorrelated. However, here, shadowing is assumed to be spatially correlated. It can be shown that localization accuracy can be improved with the consideration of correlation between pairs of RSS measurements. By linearizing the corresponding Maximum Likelihood (ML) objective function, a weighted least squares (WLS) algorithm is formulated to obtain the target location. An iterative technique based on Newtons method is utilized to give a solution. Numerical simulations show that the proposed algorithms achieves better performance than existing algorithms with reasonable complexity. In chapter 4, target localization with an unknown path loss model parameter is investigated. Most published work estimates location and these parameters jointly using iterative methods with a good initialization of path loss exponent (PLE). To avoid finding an initialization, a global optimization algorithm, particle swarm optimization (PSO) is employed to optimize the ML objective function. By combining PSO with a consensus algorithm, the centralized estimation problem is extended to a distributed version so that can be implemented in distributed WSN. Although suboptimal, the distributed approach is very suitable for implementation in real sensor networks, as it is scalable, robust against changing of network topology and requires only local communication. Numerical simulations show that the accuracy of centralized PSO can attain the Cramer Rao Lower Bound (CRLB). Also, as expected, there is some degradation in performance of the distributed PSO with respect to the centralized PSO. In chapter 5, a distributed gradient algorithm for RSS based target localization using only quantized data is proposed. The ML of the Quantized RSS is derived and PSO is used to provide an initial estimate for the gradient algorithm. A practical quantization threshold designer is presented for RSS data. To derive a distributed algorithm using only the quantized signal, the local estimate at each node is also quantized. The RSS measurements and the local estimate at each sensor node are quantized in different ways. By using a quantization elimination scheme, a quantized distributed gradient method is proposed. In the distributed algorithm, the quantization noise in the local estimate is gradually eliminated with each iteration. Simulations show that the performance of the centralized algorithm can reach the CRLB. The proposed distributed algorithm using a small number of bits can achieve the performance of the distributed gradient algorithm using unquantized data.
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8

Sarwar, Muhammad. "Effects of terrain features on wave propagation: high-frequency techniques". Thesis, University of Kalmar, Department of Technology, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:hik:diva-2281.

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This Master thesis deals with wave propagation and starts with wave propagation basics. It briefly presents the theory for the diffraction over terrain obstacles and describes two different path loss models, the Hata model and a FFT-based model. The significance of this paper is that it gives the simulation results for the models mentioned above and presents a comparison between the results obtained from an empirical formula and the FFT-model. The comparison shows that the approach based on Fast Fourier Transform is good enough for prediction of the path loss and that it is a time efficient method.

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Ha, Sean Anthony. "3.5 GHz Indoor Propagation Modeling and Channel Characterization". Thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/53949.

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In the push for spectrum sharing and open spectrum access, the 3.5 GHz frequency band is under consideration for small cells and general Wireless Local Area Networks (WLAN) in the United States. The same band is beginning to see deployment in China, Japan, and South Korea, for the 4G Long Term Evolution (LTE) cellular standard to increase coverage and capacity in urban areas through small cell deployment. However, since the adoption of this band is new, there is a distinct shortage of propagation data and accurate channel modeling at 3.5 GHz in indoor environments. These models are necessary for cellular coverage planning and evaluating the performance and feasibility of wireless systems. This report presents the results of a fixed wireless channel measurement campaign at 3.5 GHz. Measurements were taken in environments typical of indoor wireless deployment: traditional urban indoor office, hallway, classroom, computer laboratory, and atrium areas, as well as within a hospital. Primarily Non Line of Sight (NLOS) experiments were carried out in areas with a controllable amount of partitions separating the transmitter and receiver in order to document material-based attenuation values. Indoor-to-outdoor measurements were carried out, focusing on attenuation due to common exterior building materials such as concrete, brick, wood, and reinforced glass. Documented metrics include large scale path loss, log-normal shadowing, and channel power delay profiles combined with delay spread characteristics for multipath analysis. The statistical multi-antenna diversity gain was evaluated to gauge the benefit of using multi-antenna systems in an indoor environment, which has much greater spatial diversity than an outdoor environment. Measurements were compared to indoor path loss models used for WLAN planning in the low GHz range to investigate the applicability of extending these models to 3.5 GHz.
Master of Science
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10

Blakaj, Valon y Gent Gashi. "Implementation of a 3D terrain-dependent Wave Propagation Model in WRAP". Thesis, Linnéuniversitetet, Institutionen för fysik och elektroteknik (IFE), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-36774.

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The radio wave propagation prediction is one of the key elements for designing an efficient radio network system. WRAP International has developed a software for spectrum management and radio network planning.This software includes some wave propagation models which are used to predict path loss. Current propagation models in WRAP perform the calculation in a vertical 2D plane, the plane between the transmitter and the receiver. The goal of this thesis is to investigate and implement a 3D wave propagation model, in a way that reflections and diffractions from the sides are taken into account.The implemented 3D wave propagation model should be both fast and accurate. A full 3D model which uses high resolution geographical data may be accurate, but it is inefficient in terms of memory usage and computational time. Based on the fact that in urban areas the strongest path between the receiver and the transmitter exists with no joint between vertical and horizontal diffractions [10], the radio wave propagation can be divided into two parts, the vertical and horizontal part. Calculations along the horizontal and vertical parts are performed independently, and after that, the results are combined. This approach leads to less computational complexity, faster calculation time, less memory usage, and still maintaining a good accuracy.The proposed model is implemented in C++ and speeded up using parallel programming techniques. Using the provided Stockholm high resolution geographical data, simulations are performed and results are compared with real measurements and other wave propagation models. In addition to the path loss calculation, the proposed model can also be used to estimate the channel power delay profile and the delay spread.
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Más fuentes

Libros sobre el tema "PATH-LOSS MODEL"

1

Kidner, David B. Digital terrain models for radio path loss calculations. 1991.

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Urtāns, Ēvalds. Function shaping in deep learning. RTU Press, 2021. http://dx.doi.org/10.7250/9789934226854.

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This work describes the importance of loss functions and related methods for deep reinforcement learning and deep metric learning. A novel MDQN loss function outperformed DDQN loss function in PLE computer game environments, and a novel Exponential Triplet loss function outperformed the Triplet loss function in the face re-identification task with VGGFace2 dataset reaching 85,7 % accuracy using zero-shot setting. This work also presents a novel UNet-RNN-Skip model to improve the performance of the value function for path planning tasks.
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Capítulos de libros sobre el tema "PATH-LOSS MODEL"

1

Bilgehan, Bülent. "Fuzzy Based Wireless Channel Path Loss Prediction Model". En Advances in Intelligent Systems and Computing, 515–22. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64058-3_64.

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Cheerla, Sreevardhan, D. Venkata Ratnam y J. R. K. Kumar Dabbakuti. "An Optimized Path Loss Model for Urban Wireless Channels". En Lecture Notes in Electrical Engineering, 293–301. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3828-5_31.

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Kim, Ryangsoo, Wooyeol Choi, Hyuk Lim y Jae-Hyung Jang. "POSTER Zero-Configuration Path Loss Model-Based Indoor Localization". En Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 219–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30973-1_20.

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Shi, Yunfei, Yongsheng Hao, Deliang Liu y Bo Wang. "Position Estimation Based on RSS and DOA Path Loss Model". En Lecture Notes in Electrical Engineering, 2582–92. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-6571-2_313.

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Zhu, Qiuming, Chenghua Wang, Xueqiang Chen, Chao Chen, Xinyi Wang y Chenbeixi Zhang. "Path Loss Prediction Model of Radio Propagation over Lunar Surface". En Communications in Computer and Information Science, 556–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25002-6_77.

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Korde, Mridula, Jagdish Kene y Minal Ghute. "Analysis of Path Loss of Wireless Channel with Hata Model". En Lecture Notes in Networks and Systems, 157–66. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0769-4_16.

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Popoola, Segun I., Aderemi A. Atayero, Nasir Faruk, Carlos T. Calafate, Lukman A. Olawoyin y Victor O. Matthews. "Standard Propagation Model Tuning for Path Loss Predictions in Built-Up Environments". En Computational Science and Its Applications – ICCSA 2017, 363–75. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62407-5_26.

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Czerwinski, Dariusz, Slawomir Przylucki, Piotr Wojcicki y Jaroslaw Sitkiewicz. "Path Loss Model for a Wireless Sensor Network in Different Weather Conditions". En Computer Networks, 106–17. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59767-6_9.

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Lihan, Marc, Takeshi Tsuchiya y Keiichi Koyanagi. "Orientation-Aware Indoor Localization Path Loss Prediction Model for Wireless Sensor Networks". En Network-Based Information Systems, 169–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-85693-1_19.

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Popoola, Segun I., Nasir Faruk, N. T. Surajudeen-Bakinde, Aderemi A. Atayero y Sanjay Misra. "Artificial Neural Network Model for Path Loss Predictions in the VHF Band". En Conference Proceedings of ICDLAIR2019, 161–69. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67187-7_18.

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Actas de conferencias sobre el tema "PATH-LOSS MODEL"

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Fadhlullah, Solahuddin Yusuf y Widad Ismail. "Path loss model for crowd counting". En 2017 7th IEEE International Conference on Control System, Computing and Engineering (ICCSCE). IEEE, 2017. http://dx.doi.org/10.1109/iccsce.2017.8284377.

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Park, SangYoung, Hyo-Sung Ahn y Wonpil Yu. "Adaptive Path-loss Model-based Indoor Localization". En 2008 Second International Conference on Electrical Engineering (ICEE). IEEE, 2008. http://dx.doi.org/10.1109/icee.2008.4585148.

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Park, SangYoung, Hyo-Sung Ahn y Wonpil Yu. "Adaptive Path-loss Model-based Indoor Localization". En 2008 International Conference on Consumer Electronics (ICCE). IEEE, 2008. http://dx.doi.org/10.1109/icce.2008.4587968.

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Kang, Taewon y Jiwon Seo. "Practical Simplified Indoor Multiwall Path-Loss Model". En 2020 20th International Conference on Control, Automation and Systems (ICCAS). IEEE, 2020. http://dx.doi.org/10.23919/iccas50221.2020.9268260.

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Lukman, Selvi, Yul Yunazwin Nazaruddin, Bo Ai y Endra Joelianto. "New Empirical Path Loss Model for HSR". En 2022 13th Asian Control Conference (ASCC). IEEE, 2022. http://dx.doi.org/10.23919/ascc56756.2022.9828309.

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Grabowsky, David P., James M. Conrad y Aidan F. Browne. "Limited Log-Distance Path Loss Model Path Loss Exponent Estimation using Deep Deterministic Policy Gradient *". En SoutheastCon 2021. IEEE, 2021. http://dx.doi.org/10.1109/southeastcon45413.2021.9401929.

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Rath, Hemant Kumar, Sonakshi Verma, Anantha Simha y Abhay Karandikar. "Path Loss model for Indian terrain - empirical approach". En 2016 Twenty Second National Conference on Communication (NCC). IEEE, 2016. http://dx.doi.org/10.1109/ncc.2016.7561183.

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Kihei, Billy, John A. Copeland y Yusun Chang. "Improved 5.9GHz V2V Short Range Path Loss Model". En 2015 IEEE 12th International Conference on Mobile Ad Hoc and Sensor Systems (MASS). IEEE, 2015. http://dx.doi.org/10.1109/mass.2015.84.

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Bolli, Sridhar. "Propagation Path loss model based on Environmental Variables". En 2020 12th International Conference on Information Technology and Electrical Engineering (ICITEE). IEEE, 2020. http://dx.doi.org/10.1109/icitee49829.2020.9271731.

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Kim, Jongho, Youngkeun Yoon, Jangsuk Choi y Kwangho Choi. "A Generalized Clutter Loss Model for Slant Path". En 2021 International Conference on Information and Communication Technology Convergence (ICTC). IEEE, 2021. http://dx.doi.org/10.1109/ictc52510.2021.9621116.

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Informes sobre el tema "PATH-LOSS MODEL"

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Lawson. L51597 Feasibility Study of New Technology for Intake Air Filtration. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), junio de 1989. http://dx.doi.org/10.55274/r0010105.

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Inlet air filters are widely used to remove solids and liquid droplets from the ambient air before it enters the compressor of a gas turbine. Clean inlet air provides many advantages: Less corrosion of the compressor and of gas-path hot parts, such as the turbine, decreased compressor fouling, less erosion of the compressor bladeThese in turn prevent deterioration of output and heat rate, and reduce maintenance costs. Compressor fouling is caused by the ingestion of substances that deposit and adhere to blade surfaces, resulting in reduced aerodynamic efficiency and decreased available output. Air contamination could be significantly reduced by the use of more efficient air filtration systems, especially through the reduction of the quantity of smaller particles ingested. The consequent lower loss of output power and decreased cleaning efforts provide lower costs of operation and increased shaft power. This work was composed of three major efforts: 1) A literature search was performed to establish the state of the art for particle removal from gases, particularly by electrostatic precipitation, and to identify the leading vendors of the equipment-considering both experience and technical expertise. 2) Two chosen companies were visited to determine their technical capabilities as they apply to gas turbine inlet air filtration. 3) A representative gas turbine was specified by PRCI as being the equivalent of a GE Model 3002J turbine, with airflow of 91,200 acfm. A specification based upon that airflow was prepared and submitted to the two vendors. Each vendor prepared a proposal for a filter system compliant with the specification. The proposed air filtration equipment is sufficiently different from existing products that it was judged not beneficial to visit manufacturing facilities. Both vendors are reputable suppliers of air filtration equipment. This study is intended to provide definitive information relative to the use of new technology for air inlet filtration on gas turbines in gas pipeline pumping applications.
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Cobeen, Kelly, Vahid Mahdavifar, Tara Hutchinson, Brandon Schiller, David Welch, Grace Kang y Yousef Bozorgnia. Large-Component Seismic Testing for Existing and Retrofitted Single-Family Wood-Frame Dwellings (PEER-CEA Project). Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, noviembre de 2020. http://dx.doi.org/10.55461/hxyx5257.

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This report is one of a series of reports documenting the methods and findings of a multi-year, multi-disciplinary project coordinated by the Pacific Earthquake Engineering Research Center (PEER and funded by the California Earthquake Authority (CEA). The overall project is titled “Quantifying the Performance of Retrofit of Cripple Walls and Sill Anchorage in Single-Family Wood-Frame Buildings,” henceforth referred to as the “PEER–CEA Project.” The overall objective of the PEER–CEA Project is to provide scientifically based information (e.g., testing, analysis, and resulting loss models) that measure and assess the effectiveness of seismic retrofit to reduce the risk of damage and associated losses (repair costs) of wood-frame houses with cripple wall and sill anchorage deficiencies as well as retrofitted conditions that address those deficiencies. Tasks that support and inform the loss-modeling effort are: (1) collecting and summarizing existing information and results of previous research on the performance of wood-frame houses; (2) identifying construction features to characterize alternative variants of wood-frame houses; (3) characterizing earthquake hazard and ground motions at representative sites in California; (4) developing cyclic loading protocols and conducting laboratory tests of cripple wall panels, wood-frame wall subassemblies, and sill anchorages to measure and document their response (strength and stiffness) under cyclic loading; and (5) the computer modeling, simulations, and the development of loss models as informed by a workshop with claims adjustors. Quantifying the difference of seismic performance of un-retrofitted and retrofitted single-family wood-frame houses has become increasingly important in California due to the high seismicity of the state. Inadequate lateral bracing of cripple walls and inadequate sill bolting are the primary reasons for damage to residential homes, even in the event of moderate earthquakes. Physical testing tasks were conducted by Working Group 4 (WG4), with testing carried out at the University of California San Diego (UCSD) and University of California Berkeley (UCB). The primary objectives of the testing were as follows: (1) development of descriptions of load-deflection behavior of components and connections for use by Working Group 5 in development of numerical modeling; and (2) collection of descriptions of damage at varying levels of peak transient drift for use by Working Group 6 in development of fragility functions. Both UCSD and UCB testing included companion specimens tested with and without retrofit. This report documents the portions of the WG4 testing conducted at UCB: two large-component cripple wall tests (Tests AL-1 and AL-2), one test of cripple wall load-path connections (Test B-1), and two tests of dwelling superstructure construction (Tests C-1 and C-2). Included in this report are details of specimen design and construction, instrumentation, loading protocols, test data, testing observations, discussion, and conclusions.
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SEISMIC RESILIENCE ASSESSMENT OF A SINGLE-LAYER RETICULATED DOME DURING CONSTRUCTION. The Hong Kong Institute of Steel Construction, agosto de 2022. http://dx.doi.org/10.18057/icass2020.p.353.

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The seismic bearing capacity of an incomplete single-layer reticulated dome during construction is significantly lower than that of a complete dome. To assess the seismic resilience of incomplete single-layer reticulated domes and find the most unfavorable construction stage, a new curve of recovery functionality and methodology of seismic resilience during construction were established in this study. Under the combined action of the bending moment and axial force, the damage state criterion of circular steel pipes was improved through hysteresis simulation analysis. Based on the elastoplastic time-history analysis of different construction models, the damage state levels of all structural members were employed to estimate the functionality loss after an earthquake event. The repair path and the repair time of damaged steel pipes were defined, and the structural recovery functionality was computed to assess the seismic resilience. The proposed methodology in this paper was illustrated using a 40-meter span of the Kiewitt-8 dome with six circular grids considering both the construction process and seismic hazards. The results indicate that seismic resilience is related to the incomplete structural form of the dome during construction. The repair time will be the longest, and the seismic resilience will be the lowest if the incomplete dome suffers the earthquake during the construction period when installing the fourth circular grid from outside to inside.
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SEISMIC RESILIENCE ASSESSMENT OF A SINGLE-LAYER RETICULATED DOME DURING CONSTRUCTION. The Hong Kong Institute of Steel Construction, marzo de 2023. http://dx.doi.org/10.18057/ijasc.2023.19.1.10.

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The seismic bearing capacity of an incomplete single-layer reticulated dome during construction is significantly lower than that of a complete dome. To assess the seismic resilience of incomplete single-layer reticulated domes and find the most unfavorable construction stage, a new curve of recovery functionality and a new methodology of seismic resilience during construction were established in this study. Under the combined action of the bending moment and axial force, the damage state criterion of circular steel pipes was improved through hysteresis simulation analysis. Based on the elastoplastic time-history analysis of different construction models, the damage state levels of all structural members were employed to estimate the functionality loss after an earthquake event. The repair path and the repair time of damaged steel pipes were defined, and the structural recovery functionality was computed to assess the seismic resilience. The proposed methodology in this paper was demonstrated using a 40-meter span of the Kiewitt-8 dome with six circular grids considering both the construction process and seismic hazards. The results indicate that seismic resilience is related to the incomplete structural form of the dome during construction. The repair time will be the longest and the seismic resilience will be the lowest if the incomplete dome suffers an earthquake during the construction period when installing the fourth circular grid from outside to inside.
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