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Добірка наукової літератури з теми "COLLECTED WHILE GROUND DATA CAMPAIGN"

Автор: Grafiati

Опубліковано: 11 вересня 2023

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Статті в журналах з теми "COLLECTED WHILE GROUND DATA CAMPAIGN"

1

Siegfried, Matthew R., Robert L. Hawley, and John F. Burkhart. "High-Resolution Ground-Based GPS Measurements Show Intercampaign Bias in ICESat Elevation Data Near Summit, Greenland." IEEE Transactions on Geoscience and Remote Sensing 49, no. 6 (2011): 3393–400. http://dx.doi.org/10.1109/tgrs.2011.2127483.

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The Geoscience Laser Altimeter System (GLAS) aboard the National Aeronautics and Space Administration's Ice, Cloud, and land Elevation Satellite (ICESat) collected data from early 2003 to late 2009 with the specific goal of measuring ice-surface elevation changes. While the precision of GLAS instrumentation has been studied over its intended target (ice), its accuracy has only been robustly estimated using independent (terrestrial nonlaser) methods over salt flats. Here, we perform repeat high-precision Global Positioning System (GPS) surveys under four passes of ICESat track 0412 (campaigns L

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2

Gibertini, Giuseppe, Silvano Rezzonico, Marco Rossetti, and Alex Zanotti. "Experimental Investigation of Helicopter Noise While Approaching an Elevated Helipad." Aerospace 10, no. 8 (2023): 701. http://dx.doi.org/10.3390/aerospace10080701.

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The present paper describes a test campaign performed to investigate the noise footprint emitted by a helicopter in an idealised urban context, reproducing the approach to an elevated helipad. The test campaign was performed in Politecnico di Milano’s anechoic chamber and was finalised to investigate the effects produced only by helicopter noise. The set up consisted of a two-blade main rotor helicopter model and an aluminium rectangular prism model reproducing the landing building. Ground observer perceptions were recorded by means of a surface microphone and a realistic landing trajectory wa

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3

Tihanyi, Viktor, Tamás Tettamanti, Mihály Csonthó, et al. "Motorway Measurement Campaign to Support R&D Activities in the Field of Automated Driving Technologies." Sensors 21, no. 6 (2021): 2169. http://dx.doi.org/10.3390/s21062169.

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A spectacular measurement campaign was carried out on a real-world motorway stretch of Hungary with the participation of international industrial and academic partners. The measurement resulted in vehicle based and infrastructure based sensor data that will be extremely useful for future automotive R&D activities due to the available ground truth for static and dynamic content. The aim of the measurement campaign was twofold. On the one hand, road geometry was mapped with high precision in order to build Ultra High Definition (UHD) map of the test road. On the other hand, the vehicles—equi

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4

Manni, Mattia, Alessia Di Giuseppe, Alessandro Petrozzi, Andrea Nicolini, Federico Rossi, and Franco Cotana. "High-reflective Mulching Membrane for a Sustainable Development: Monitoring Campaign." E3S Web of Conferences 197 (2020): 08012. http://dx.doi.org/10.1051/e3sconf/202019708012.

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Modern agriculture techniques are responsible for the production of large volumes of greenhouse gases that represent the main cause of climate change. At the same time, agricultural activities are negatively affected by climate change effects, showing a reduction in productivity. Within this framework, the present study aims at investigating the effectiveness of an innovative high-reflective mulching membrane that can be exploited in the agricultural sector to mitigate its environmental impact. It consists of a mulching membrane coupled to an irrigation system, and painted with bright pigments

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5

Marzahn, P., and R. Ludwig. "On the derivation of soil surface roughness from multi parametric PolSAR data and its potential for hydrological modeling." Hydrology and Earth System Sciences 13, no. 3 (2009): 381–94. http://dx.doi.org/10.5194/hess-13-381-2009.

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Abstract. The potential of multi parametric polarimetric SAR (PolSAR) data for soil surface roughness estimation is investigated and its potential for hydrological modeling is evaluated. The study utilizes microwave backscatter collected from the DEMMIN test site in the North East of Germany during the AgriSAR 2006 campaign using fully polarimetric L-band E-SAR data. In addition to various measurements of soil physical properties, soil surface roughness was measured extensively using photogrammetric image matching techniques for ground truthing. The resulting micro-DSMs are analyzed to correla

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6

Sikand, M., J. Koskulics, K. Stamnes, B. Hamre, J. J. Stamnes, and R. P. Lawson. "Estimation of Mixed-Phase Cloud Optical Depth and Position Using In Situ Radiation and Cloud Microphysical Measurements Obtained from a Tethered-Balloon Platform." Journal of the Atmospheric Sciences 70, no. 1 (2013): 317–29. http://dx.doi.org/10.1175/jas-d-12-063.1.

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Abstract Microphysical and radiative measurements in boundary layer mixed-phase clouds (MPCs), consisting of ice crystals and liquid droplets, have been analyzed. These cloud measurements were collected during a May–June 2008 tethered-balloon campaign in Ny-Ålesund, Norway, located at 78.9°N, 11.9°E in the High Arctic. The instruments deployed on the tethered-balloon platform included a radiometer, a cloud particle imager (CPI), and a meteorological package. To analyze the data, a radiative transfer model (RTM) was constructed with two cloud layers—consistent with the CPI data—embedded in a ba

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7

Marzahn, P., and R. Ludwig. "On the derivation of soil surface roughness from multi parametric PolSAR data and its potential for hydrological modelling." Hydrology and Earth System Sciences Discussions 5, no. 6 (2008): 3383–418. http://dx.doi.org/10.5194/hessd-5-3383-2008.

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Abstract. The potential of multi parametric polarimetric SAR (PolSAR) data for soil surface roughness estimation is investigated and its potential for hydrological modeling is evaluated. The study utilizes microwave backscatter collected from the DEMMIN test-site in the north-east of Germany during the AgriSAR 2006 campaign using fully polarimetric L-Band E-SAR data. In addition to various measurements of soil physical properties, soil surface roughness was measured extensively using photogrammetric image matching techniques for ground truthing. The resulting micro-DEMs are analyzed to correla

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8

Aloysius, M., M. Mohan, K. Parameswaran, S. K. George, and P. R. Nair. "Aerosol transport over the Gangetic basin during ISRO-GBP land campaign-II." Annales Geophysicae 26, no. 3 (2008): 431–40. http://dx.doi.org/10.5194/angeo-26-431-2008.

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Abstract. MODIS (Moderate Resolution Imaging Spectroradiometer) Level-3 aerosol optical depth (AOD) data and NCEP (National Centre for Environmental Prediction) reanalysis winds were incorporated into an aerosol flux continuity equation, for a quantitative assessment of the sources of aerosol generation over the Ganga basin in the winter month of December 2004. Preliminary analysis on the aerosol distribution and wind fields showed wind convergence to be an important factor which, supported by the regional topography, confines aerosols in a long band over the Indo Gangetic plain (IGP) stretchi

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9

Xueref-Remy, I., C. Messager, D. Filippi, et al. "Variability and budget of CO<sub>2</sub> in Europe: analysis of the CAATER airborne campaigns – Part 1: Observed variability." Atmospheric Chemistry and Physics Discussions 10, no. 2 (2010): 5665–716. http://dx.doi.org/10.5194/acpd-10-5665-2010.

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Abstract. Atmospheric airborne measurements of CO2 are very well-suited to estimate the time varying distribution of carbon sources and sinks at the regional scale. We present here an analysis of two cross-European airborne campaigns that have been carried out on 23–26 May 2001 (CAATER 1) and 2–3 October 2002 (CAATER 2) over Western Europe. The area covered during CAATER 1 (respectively CAATER 2) was comprised between longitude 4° W to 14° E and latitude 44° N to 52° N (respectively longitude 1° E to 17° E and latitude 46° N to 52° N). High precision in-situ CO2, CO and Radon 222 measurements

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10

Arthur, Dan K., Sonia Lasher-Trapp, Ayman Abdel-Haleem, Nicholas Klosterman, and David S. Ebert. "A New Three-Dimensional Visualization System for Combining Aircraft and Radar Data and Its Application to RICO Observations." Journal of Atmospheric and Oceanic Technology 27, no. 5 (2010): 811–28. http://dx.doi.org/10.1175/2009jtecha1395.1.

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Abstract The analysis of diverse datasets from meteorological field campaigns often involves the use of separate 1D or combined 2D plots from various applications, making the determination of spatial and temporal relationships and correlations among these data, and the overall synthesis of information, extremely challenging. Presented here is a new 3D visualization tool, the Aircraft and Radar Data Collocation and Analysis in 3D (ARCA3D), that can combine data collected from different sources and at different scales, utilizing advanced visualization and user interface techniques, which allows

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Дисертації з теми "COLLECTED WHILE GROUND DATA CAMPAIGN"

1

GAKHAR, SHALINI. "DEVELOPMENT OF SPECTRAL-SPATIAL STRATEGIES FOR DETECTION OF ENGINEERED OBJECTS USING HYPERSPECTRAL DATA." Thesis, DELHI TECHNOLOGICAL UNIVERSITY, 2021. http://dspace.dtu.ac.in:8080/jspui/handle/repository/18905.

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Humans all across the globe migrate to cities/urban areas in search of better livelihood. In India alone, the migrant population moving to cities is likely to rise to 40% by 2030. Urbanization takes a heavy toll of the scarce resources. Besides, there are many adverse environmental effects of rapid urbanization. Urban planners, therefore, have to continuously control and monitor the urban expansion, plan amenities, make judicious allocation of lands for industries, residences and agriculture, ensure low environmental pollution and simultaneously also address several other challenges of urban p

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Книги з теми "COLLECTED WHILE GROUND DATA CAMPAIGN"

1

Kumlin, Staffan, and Achim Goerres. Election Campaigns and Welfare State Change. Oxford University PressOxford, 2022. http://dx.doi.org/10.1093/oso/9780198869214.001.0001.

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Abstract For over three decades, mature European welfare states have been on their way into an austerity phase marked by greater need and more insecure revenues. A number of reform pressures—including population ageing, unemployment, economic globalization, and increased migration—call into question the economic sustainability and normative underpinning of transfer systems and public services. And while welfare states long seemed resilient to growing challenges, it now seems clear that they are changing. This book examines how political leaders and the public respond to reform pressures at a p

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Частини книг з теми "COLLECTED WHILE GROUND DATA CAMPAIGN"

1

Mahmoudi, Elham, Jan Düllmann, Lukas Heußner, et al. "Advance Reconnaissance and Optimal Monitoring." In Interaction Modeling in Mechanized Tunneling. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-24066-9_2.

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AbstractEffective exploration techniques during mechanized tunneling are of high importance in order to prevent severe surface settlements as well as a damage of the tunnel boring machine, which in turn would lead to additional costs and a standstill in the construction process. A seismic methodology called full waveform inversion can bring a considerable improvement compared to state-of-the-art seismic methods in terms of precision. Another method of exploration during mechanized tunneling is to continuously monitor subsurface behavior and then use this data to identify disturbances through pattern recognition and machine learning techniques. Various probabilistic methods for conducting system identification and proposing an appropriate monitoring plan are developed in this regard. Furthermore, ground conditions can be determined by studying boring machine data collected during the excavation. The active and passive obtained data during performance of a shield driven machine were used to estimate soil parameters. The monitoring campaign can be extended to include above-ground structural surveillance as well as terrestrial and satellite data to track displacements of existing infrastructure caused by tunneling. The available radar data for the Wehrhahn-line project are displayed and were utilized to precisely monitor the process of anticipated uplift by injections and any subsequent ground building settlements.

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2

Hoang, Thanh-Van, Tien-Yin Chou, Yao-Min Fang, et al. "Application of Global Satellite Positioning and Automatic Monitoring in Slopeland Disaster Prevention." In Progress in Landslide Research and Technology, Volume 1 Issue 2, 2022. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-18471-0_12.

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AbstractThe Global Positioning System (GPS) is satellite-based, with receiving equipment worldwide utilizing geographic positioning satellites in Earth orbit. The system is unaffected by the radio positioning system, so it provides highly accurate three-dimensional positioning, velocity, and time data to users. In this paper, Alishan Township, Chiayi County, central Taiwan, is selected to test an automatic real-time monitoring system comprising of one machine with multiple GPS antennas. To this end, the Alishan Public Works Section installed advanced measuring instruments and a landslide-monitoring system composed of a high-efficiency transmission system. A pre- and post-rainfall data survey was conducted on this slope section. Together with the rainfall records, real-time ground-slip monitoring data was collected, and subsequently analyzed to understand the disaster situation and ground slip characteristics of the Alishan Highway following an earthquake (1998). In the future, more effective management values will be set to reduce the loss of slope disasters to conserve land and public safety. For the first time in Taiwan, this paper presents displacement data indicating that after the typhoon rains, a maximum surface movement velocity of 2.5 cm every six days is attained, while the total displacement per month is as high as 10 cm. These data can be used as for the remediation of this section of the Alishan Highway.

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3

Ali, Murad. "Monitoring and Evaluation in South-South Cooperation: The Case of CPEC in Pakistan." In The Palgrave Handbook of Development Cooperation for Achieving the 2030 Agenda. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57938-8_13.

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AbstractPakistan is a key country in China’s Belt and Road Initiative (BRI) where the China–Pakistan Economic Corridor (CPEC) is under implementation. An investment model of financing through loans, grants and private investments, CPEC is an example of South-South cooperation (SSC) having a number of benefits for both countries. Aimed at developing energy, industry, and communication infrastructure, the corridor initially valued at $46 billion but is now worth $62 billion. CPEC is expected to contribute significantly to socio-economic development and regional connectivity and trade. The main research question is, while implementing projects in Pakistan, to what extent China adheres to its avowed principles comprising features such as mutual respect, non-conditionality, equality, building local capacity and addressing actual needs of partner countries. Based mainly on the analysis of primary data collected during fieldwork in Pakistan, this research explores the extent to which the official narrative influences the actual practice of China’s development cooperation on the ground. To critically examine CPEC, this chapter uses a monitoring and evaluation framework developed by the Network of Southern Think Tanks (NeST), which is dedicated to generating systematic and clearly comparable knowledge on SSC (Besharati et al. 2017). The findings illustrate that, as per the five broad dimensions of the SSC framework, the China–Pakistan partnership under CPEC has performed well in the four areas of inclusive national ownership, horizontality, self-reliance and sustainability, and development effectiveness, but it has lagged in accountability and transparency.

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4

Lund, Brady. "The Cryptocurrency “Pump-and-Dump”." In Handbook of Research on Cyber Law, Data Protection, and Privacy. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-8641-9.ch012.

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This chapter describes the author's personal experience as a member of a crypto-trading “pump-and-dump” group – groups organized on Reddit and Discord channels that use social media to spread positive misinformation about a cryptocurrency in order to temporarily inflate its value and collect huge profits. It discusses the nature of cryptocurrency marketplaces, social networking related to crypto, the pump-and-dump phenomenon, its social and economic impacts, and ethical concerns. Following the rise in the value of Bitcoin and the WallStreetBets/GameStop saga in December 2020 and January 2021, these pump-and-dump groups used the frenzy surrounding “get rich quick” investing to generate inordinate profits off of these ambitious individuals' losses. Rallying around a shared philosophy and profit motive, these groups utilized social media disinformation campaigns to fool new crypto investors in squandering their funds, often while failing to acknowledge the legal and ethical conundrum of stealing from the poor and ambitious.

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5

Bengson, John, Terence Cuneo, and Russ Shafer-Landau. "Philosophical Data." In Philosophical Methodology. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780192862464.003.0003.

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This chapter discusses the nature of philosophical data, identifying their four basic features—data about data. Data are claims that are (i) inquiry-constraining, (ii) starting points for inquiry, (iii) collected via certain procedures, and (iv) neutral. This chapter also confronts and seeks to dispel worries about the theory-ladenness of data, which calls into doubt features (ii) and (iv). The discussion then turns to critically assessing three theories of data. The sociological theory treats data as claims that inquirers provisionally agree on; the metaphysical theory construes data as constitutive features of reality; the psycho-linguistic theory sees data as claims about psychological or linguistic phenomena, such as appearances or how language is used. While each theory handles at least two of the four features of data, each theory also fails to capture at least one of them. This prepares the ground for the presentation and defense, in Chapter 3, of the epistemic theory of data.

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6

Amoo, Emmanuel O., Mofoluwake P. Ajayi, Faith O. Olanrewaju, Tomike Olawande, and Adebanke Olawole-Isaac. "Child Swaddling or Back Wrapping During Street Trading." In Advances in Media, Entertainment, and the Arts. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-0329-4.ch012.

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The study is premised on social responsibility and social epidemiological theories and examined the exposure of back-wrapped babies to health risk during street trading. Data were collected using structured face-to-face interviews and snowballing techniques among 228 Street trading women (with children aged ≤ 11 months), in one local government area of Ogun State, Nigeria. Data analyses involved univariate and multivariate methods. The results show that 58.3% of women interviewed wrapped their babies at their back while trading on the streets, ≥80% were not aware of any campaign against baby back-wrapping, 35% viewed baby back-wrapping as medicinal for the baby, and as traditional practice (59.2%). The multivariate analysis revealed that children wrapped while trading on the street are at higher risk of exposure to illness than those not back wrapped (OR=1.778, p=0.042). The authors suggested media campaign against back-wrapping baby while trading on the street to reduce exposure to diseases, mortalities and possibly achievement of sustainable development goal (SDG-3).

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7

Amoo, Emmanuel O., Mofoluwake P. Ajayi, Faith O. Olanrewaju, Tomike Olawande, and Adebanke Olawole-Isaac. "Child Swaddling or Back Wrapping During Street Trading." In Research Anthology on Measuring and Achieving Sustainable Development Goals. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-3885-5.ch021.

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Анотація:

The study is premised on social responsibility and social epidemiological theories and examined the exposure of back-wrapped babies to health risk during street trading. Data were collected using structured face-to-face interviews and snowballing techniques among 228 Street trading women (with children aged ≤ 11 months), in one local government area of Ogun State, Nigeria. Data analyses involved univariate and multivariate methods. The results show that 58.3% of women interviewed wrapped their babies at their back while trading on the streets, ≥80% were not aware of any campaign against baby back-wrapping, 35% viewed baby back-wrapping as medicinal for the baby, and as traditional practice (59.2%). The multivariate analysis revealed that children wrapped while trading on the street are at higher risk of exposure to illness than those not back wrapped (OR=1.778, p=0.042). The authors suggested media campaign against back-wrapping baby while trading on the street to reduce exposure to diseases, mortalities and possibly achievement of sustainable development goal (SDG-3).

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8

Ferrara, Roberto, Stefano Arrizza, Andrea Ventura, et al. "Structure characterization on Mediterranean forest stand using terrestrial laser scanning." In Advances in Forest Fire Research 2022. Imprensa da Universidade de Coimbra, 2022. http://dx.doi.org/10.14195/978-989-26-2298-9_61.

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Forest stands plays an important role in Western Mediterranean ecosystems, their characterization it is needed for a whole comprehension of natural dynamics and for an efficient forestry management. The definition of the structural parameters of forest vegetation is a useful information for different environmental applications, such as studies on carbon dynamics, sustainable forest management, ecological studies, forest fuel studies and fire risk management. A precise description of the forest is particularly important for fire hazard mitigation planning because allows predictions of the potential fire behavior and its destructive effects. Obtaining detailed information on forest stand and canopy variables requires extensive, difficult, and laborious field campaigns. Remote and proximal sensing techniques for forest monitoring have become popular in recent decades. Specifically, Terrestrial Laser Scanner (TLS), based on Lidar technology, has demonstrated its potential to overcome the limitations of the conventional ground-based forest inventory techniques, but the accuracy and applicability of TLS techniques for estimation of tree attributes and canopy characterization, presupposes a correct separation between points representing shrubs, woody material, leaves and small branches and needs further investigations. In this work we developed and tested an automatic procedure based on the point density algorithms DBSCAN, to correctly separate points representing shrubs, woody material, leaves, and small branches at plot level, in order to identify woody material volumes, tree density and canopy cover on a forest stand. The study was carried out in several areas located in Sardinia, Italy, mainly covered by pine forest, mixed forest, and oak forest with different understory types. Destructive and non-destructive measurements were done inside circular plots of 10 m radius. TLS data sets were collected in field by multiple scanning of the plots. The 3D point clouds were processed for isolating trees, ground and understory and subsequently for separating wood from foliage. Cloud points were partitioned in cubic volumes (voxels) that were used as input to separate stand components (by applying principal component analysis) and to generate wood and no-wood clusters (by applying the point density algorithm DBSCAN). The first results obtained show that the proposed method allows to correctly identify foliage, trunk and main branches especially when the underlying layer is dominated by low herbaceous vegetation. However, further studies are needed to assess the ability of this method in forest stands characterized by high and dense undergrowth and with different species of trees.

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9

Bilgin, Yavuz, Selin Metin Camgoz, Mehmet Baha Karan, and Yilmaz Yildiz. "Understanding the Investment Behavior of Individual Investors." In Advances in Marketing, Customer Relationship Management, and E-Services. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2559-3.ch011.

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The FOREX market has become a popular ground amongst all kinds of market players. The leverage transactions of the market that may generate higher profit levels with low capital/investments make it very attractive for the individual risk takers. The research investigates the trading behavior of FOREX investors relying on the survey data collected from 167 Turkish investors in 2019. Within the scope of the research, the authors evaluate whether and to what extent behavioral factors, namely demographic characteristics; personal characteristics such as personality traits, love of money, and biases like disposition effect influence investment performance. The results reveal that among the personality traits, openness to experience and conscientiousness have a positive impact while disposition effect and love of money have a negative impact on the performance of investors. Additional analysis suggests that the effects of personality traits and biases on trading performance remarkably change among subgroups of investors regarding their income level.

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Bilgin, Yavuz, Selin Metin Camgoz, Mehmet Baha Karan, and Yilmaz Yildiz. "Understanding the Investment Behavior of Individual Investors." In Research Anthology on Personal Finance and Improving Financial Literacy. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-8049-3.ch002.

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Анотація:

The FOREX market has become a popular ground amongst all kinds of market players. The leverage transactions of the market that may generate higher profit levels with low capital/investments make it very attractive for the individual risk takers. The research investigates the trading behavior of FOREX investors relying on the survey data collected from 167 Turkish investors in 2019. Within the scope of the research, the authors evaluate whether and to what extent behavioral factors, namely demographic characteristics; personal characteristics such as personality traits, love of money, and biases like disposition effect influence investment performance. The results reveal that among the personality traits, openness to experience and conscientiousness have a positive impact while disposition effect and love of money have a negative impact on the performance of investors. Additional analysis suggests that the effects of personality traits and biases on trading performance remarkably change among subgroups of investors regarding their income level.

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Тези доповідей конференцій з теми "COLLECTED WHILE GROUND DATA CAMPAIGN"

1

Pascioni, Kyle, Michael Watts, James Stephenson, Eric Greenwood, and Charles Smith. "Medium-Sized Helicopter Noise Abatement Flight Test." In Vertical Flight Society 76th Annual Forum & Technology Display. The Vertical Flight Society, 2020. http://dx.doi.org/10.4050/f-0076-2020-16497.

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An extensive flight test campaign was recently completed, which aims to reduce the operational noise generated by helicopters in an effort to improve community acceptance. Using a ground-based microphone array, acoustic measurements were acquired on helicopters in the medium-sized vehicle weight class over a number of flight conditions including steady level flight, steady descents, and approaches. While data were collected across four helicopters, the Leonardo AW139 and Sikorsky S-76D will be the focus of this paper. Source noise hemispheres are computed for the steady test points, but the gr

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2

Ferguson, Eric L., Marco Castillo, Abraham Kazzaz, and Toby F. Dunner. "Case Study on the Impacts of an Automated Condition Assessment System Deployed Across Offshore Production Facilities." In ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/211273-ms.

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Abstract Objectives / Scope Continuous Fabric Maintenance (FM) is crucial for uninterrupted operations on offshore oil and gas platforms. A primary FM goal is managing equipment degradation onset across the production facilities. General Vision Inspection (GVI) programs target timely detection and grading of defects such as corrosion severity, coating condition, and likelihood-of-failure. These processes are costly, time-consuming, labor-intensive, and must be conducted on-site. Moreover, inspection findings are subjective and provide incomplete asset coverage, leading to increased risk of unp

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3

Giachin, Anthony, J. Josiah Steckenrider, and Gregory Freisinger. "A Data-Driven Approach for Estimating Postural Control Using an Inertial Measurement Unit." In ASME 2021 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/imece2021-70518.

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Abstract In this paper, we propose a probabilistic multi-Gaussian parameter estimation technique which addresses the complex relationship between acceleration and ground force signals used to derive a human’s static center of pressure. The intent of this work is to develop an accurate accelerometer-based method for determining postural control and neuromuscular status which is more portable and cost-effective than force plate-based techniques. Acceleration data was collected using an inertial measurement unit while ground reaction forces were simultaneously measured using a force plate. Variou

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Neves, A. C., K. Maes, Ignacio Gonzalez, and Raid Karoumi. "A combined model-free Artificial Neural Network-based method with clustering for novelty detection: The case study of the KW51 railway bridge." In IABSE Conference, Seoul 2020: Risk Intelligence of Infrastructures. International Association for Bridge and Structural Engineering (IABSE), 2020. http://dx.doi.org/10.2749/seoul.2020.181.

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<p>Clustering is one of the most commonly employed exploratory data analysis technique to get some valuable insight about the structure of data. It is considered to be an unsupervised learning method as there is no ground truth to compare the output of the algorithm with the true labels of the data. However, the intention in this work is not to evaluate the performance of the algorithm but to try to investigate the structure of the data and underlying patterns.</p><p>This paper proposes an approach for condition assessment of bridges based on Artificial Neural Networks (ANNs)

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Holder, John, and John Tritschler. "Design and Conduct of a Flight Test to Investigate Hover In-Ground-Effect Performance over Sloped Terrain." In Vertical Flight Society 75th Annual Forum & Technology Display. The Vertical Flight Society, 2019. http://dx.doi.org/10.4050/f-0075-2019-14735.

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This paper presents flight test results from a research investigation into the effect of sloping terrain on hover power required. The investigation involved flight test data that were collected for a UH-72A Lakota helicopter while hovering inside ground effect above sloped terrain of varied gradients, in several aircraft orientations and multiple heights above the ground. Performance data were collected over a range of thrust coefficients by varying aircraft weight, rotor speed and environmental conditions over two sorties. The data are compared and contrasted to provide specific insight into

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Andreini, Antonio, Bruno Facchini, Luca Mangani, Stefano Cocchi, and Roberto Modi. "Fuel Flexibility Test Campaign on a GE10 Gas Turbine: Experimental and Numerical Results." In ASME Turbo Expo 2006: Power for Land, Sea, and Air. ASMEDC, 2006. http://dx.doi.org/10.1115/gt2006-90510.

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Medium- and low-LHV fuels are receiving a continuously growing interest in stationary power applications. Besides that, since in many applications the fuels available at a site can be time by time of significantly different composition, fuel flexibility has become one of the most important requirements to be taken into account in developing power systems. A test campaign, aimed to provide a preliminary assessment of a small power gas turbine’s fuel flexibility, was carried over a full-scale GE10 prototypical unit, located at the Nuovo-Pignone manufacturing site, in Florence. The engine is a si

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Silva, Antonio Márcio Teodoro Cordeiro, Jacqueline Andréia Bernardes Leão Cordeiro, Cesar Augusto Sam Tiago Vilanova Costa, Fábio Silvestre Ataides, and Liliane Emilly dos Santos Sousa. "THE IMPORTANCE OF PINK OCTOBER CAMPAIGN ON BREAST CANCER AWARENESS IN BRAZIL: EVIDENCE BASED ON GOOGLE TRENDS." In Abstracts from the Brazilian Breast Cancer Symposium - BBCS 2021. Mastology, 2021. http://dx.doi.org/10.29289/259453942021v31s2114.

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Objectives: To assess the magnitude of the international movement “Pink October” in Google Search and YouTube, using the Google Trends tool. Methodology: Analyses were carried out using the Google Trends tool on Google Search and YouTube, applying the descriptor “Breast Cancer,” both in English and Portuguese. Trends data were indexed from 0 to 100, where 0 is no search on the topic and 100 represents the maximum search interest for the selected period and location. Duplicate searches, repeated by the same person, were eliminated in the Google Trends statistic. Results: Billions of searches ar

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Mucchi, Emiliano, and Antonio Vecchio. "Experimental Vibro-Acoustic Transfer Path Analysis on Helicopters." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-12437.

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The Transfer Path Analysis (TPA) presented in this paper has been performed on the Agusta Westland AW-109 helicopter. A combination of laboratory measured FRFs and in-flight operational data has been gathered: while the structural and acoustic FRFs have been collected in a measurement campaign held at Politecnico of Milan employing the helicopter mock-up, the operational data, i.e. the paths acceleration, were obtained on the actual helicopter in a succeeding session that took place in the Agusta Westland factory. Since the data analysis has brought to light some corrupted data concerning the

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Bravo, Maria Cecilia, Yon Blanco, Mauro Firinu, et al. "Reservoir Fluid Mapping While Drilling: Untapping the Barents Sea." In IADC/SPE Asia Pacific Drilling Technology Conference. SPE, 2021. http://dx.doi.org/10.2118/201019-ms.

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Abstract In complex and sensitive environments such as the northern Barents Sea, operations face multiple challenges, both technically and logistically. The use of logging while drilling (LWD) technology mitigates risks and assures acquisition of formation evaluation data in a complex trajectory. All data gathering was performed in LWD and provided the kernel for interpretation; alternate scenarios utilizing pipe conveyed wireline elevated risk factors as well as higher overall costs. Novel technology was required for this data acquisition, including fluid mapping while drilling (FMWD) that al

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Cerutti, Matteo, Roberto Modi, Danielle Kalitan, and Kapil K. Singh. "Design Improvement Survey for NOx Emissions Reduction of a Heavy-Duty Gas Turbine Partially Premixed Fuel Nozzle Operating With Natural Gas: Experimental Campaign." In ASME Turbo Expo 2015: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/gt2015-43516.

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As government regulations become increasingly strict with regards to combustion pollutant emissions, new gas turbine combustor designs must produce lower NOx while also maintaining acceptable combustor operability. The design and implementation of an efficient fuel/air premixer is paramount to achieving low emissions. Options for improving the design of a natural gas fired heavy-duty gas turbine partially premixed fuel nozzle have been considered in the current study. In particular, the study focused on fuel injection and pilot/main interaction at high pressure and high inlet temperature. NOx

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Звіти організацій з теми "COLLECTED WHILE GROUND DATA CAMPAIGN"

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Wong, Melanie, Tania Beekmans, Fuatino Taliaoa, and Liam M. Oades. Effectiveness of the Breaking Ground Programme in Transforming Parenting Skills and Practice. Unitec ePress, 2021. http://dx.doi.org/10.34074/rsrp.093.

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The Breaking Ground programme was an 18-month pilot programme to support families and parents in a mana-enhancing process while developing parenting skills and practices, focused on intensive family intervention. Practitioners worked alongside families who were on a trajectory towards having their children placed in state care, with the goal of preventing entry to such care. This research uses a case-study methodology with data collected through interviews with social workers and families involved in the programme. The aims of this research were: 1) to examine the effectiveness of social worke

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Falconer, David G. L51774 Remote Sensing of Hazardous Ground Movement about Buried Gas Transmission Lines. Pipeline Research Council International, Inc. (PRCI), 1997. http://dx.doi.org/10.55274/r0011973.

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Reviews the available sensors for monitoring hazardous ground movement. Our review was limited to airborne and spaceborne sensors for access, performance, and productivity considerations. It was observed that certain ground movement is comparatively localized, e.g., earthquake faulting, while other activity may extend for thousands of kilometers, e.g., frost heave. Accordingly, we have considered two operating modes for the sensor-platform system, namely, site-by-site and continuous corridor. To determine the suitability of the candidate sensors for pipeline monitoring, we have assessed the ex

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Cook, Samantha, Marissa Torres, Nathan Lamie, Lee Perren, Scott Slone, and Bonnie Jones. Automated ground-penetrating-radar post-processing software in R programming. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45621.

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Ground-penetrating radar (GPR) is a nondestructive geophysical technique used to create images of the subsurface. A major limitation of GPR is that a subject matter expert (SME) needs to post-process and interpret the data, limiting the technique’s use. Post-processing is time-intensive and, for detailed processing, requires proprietary software. The goal of this study is to develop automated GPR post-processing software, compatible with Geophysical Survey Systems, Inc. (GSSI) data, in open-source R programming. This would eliminate the need for an SME to process GPR data, remove proprietary s

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Bortz, Tyler, Molly Davis, and Ryan Manuel. Plant community composition and structure monitoring at Fort Laramie National Historic Site: 2020 data report. National Park Service, 2022. http://dx.doi.org/10.36967/nrds-2293003.

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This report presents the results of vegetation monitoring efforts in 2020 at Fort Laramie National Historic Site (FOLA) by the Northern Great Plains Inventory and Monitoring Network (NGPN) and the United States Geological Survey (USGS). This was the tenth year of combined monitoring efforts. Crew members from USGS visited 9 long-term monitoring plots to collect data on the plant communities at FOLA. This work is part of a long-term monitoring effort designed to provide a better understanding of the condition of the vegetation community at FOLA and how it changes over time. USGS staff measured

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Hodgdon, Taylor, Anthony Fuentes, Jason Olivier, Brian Quinn, and Sally Shoop. Automated terrain classification for vehicle mobility in off-road conditions. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40219.

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The U.S. Army is increasingly interested in autonomous vehicle operations, including off-road autonomous ground maneuver. Unlike on-road, off-road terrain can vary drastically, especially with the effects of seasonality. As such, vehicles operating in off-road environments need to be in-formed about the changing terrain prior to departure or en route for successful maneuver to the mission end point. The purpose of this report is to assess machine learning algorithms used on various remotely sensed datasets to see which combinations are useful for identifying different terrain. The study collec

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Raymond, Kara, Laura Palacios, and Evan Gwilliam. Status of climate and water resources at Big Bend National Park: Water year 2019. Edited by Tani Hubbard. National Park Service, 2022. http://dx.doi.org/10.36967/2294267.

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Climate and hydrology are major drivers of ecosystem structure and function, particularly in arid and semi-arid ecosystems. Understanding changes in climate, groundwater, streamflow, and water quality is central to assessing the condition of park resources. This report combines data collected on climate, groundwater, and springs at Big Bend National Park (NP) to provide an integrated look at climate and water conditions during water year (WY) 2019 (October 2018–September 2019). However, this report does not address the Rio Grande or its tributaries. Annual precipitation was higher than normal

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