Academic literature on the topic 'Personal weather station'
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Journal articles on the topic "Personal weather station"
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Tchamda, André Rodrigue, Merlain Boris Djousse K., Anselme Maffo Koumetio, Mathias Fru Fonteh, François Becau Pelap, Robert Tchitnga, and Martin Kom. "Low-cost Wireless Personal Weather Station for Rural Farmers." Transactions on Networks and Communications 9, no. 1 (February 28, 2021): 01–10. http://dx.doi.org/10.14738/tnc.91.9647.
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This document presents the design of a prototype of a low-cost personal weather station suitable for farmers in rural areas who are or may not be engaged in rudimentary agriculture. This prototype measure several weather data: temperature, relative humidity, wind speed, wind direction, rainfall. For further data analysis, these are transmitted for recording to a remote server via wireless communication. The server offers data extraction possibilities in multiple file formats. A prototyping of the personal weather station is designed and commissioned. An extract of the results over two days is presented in the results section of this document
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Lascano, Robert J., Timothy S. Goebel, Dennis C. Gitz III, and John E. Stout. "Evaluation of a Wireless Solar Powered Personal Weather Station." Agricultural Sciences 15, no. 01 (2024): 36–53. http://dx.doi.org/10.4236/as.2024.151003.
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Hahn, Claudia, Irene Garcia-Marti, Jacqueline Sugier, Fiona Emsley, Anne-Lise Beaulant, Louise Oram, Eva Strandberg, Elisa Lindgren, Martyn Sunter, and Franziska Ziska. "Observations from Personal Weather Stations—EUMETNET Interests and Experience." Climate 10, no. 12 (December 2, 2022): 192. http://dx.doi.org/10.3390/cli10120192.
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The number of people owning a private weather station (PWS) and sharing their meteorological measurements online is growing worldwide. This leads to an unprecedented high density of weather observations, which could help monitor and understand small-scale weather phenomena. However, good data quality cannot be assured and thorough quality control is crucial before the data can be utilized. Nevertheless, this type of data can potentially be used to supplement conventional weather station networks operated by National Meteorological & Hydrological Services (NMHS), since the demand for high-resolution meteorological applications is growing. This is why EUMETNET, a community of European NMHS, decided to enhance knowledge exchange about PWS between NMHSs. Within these efforts, we have collected information about the current interest in PWS across NMHSs and their experiences so far. In addition, this paper provides an overview about the data quality challenges of PWS data, the developed quality control (QC) approaches and openly available QC tools. Some NMHS experimented with PWS data, others have already incorporated PWS measurements into their operational workflows. The growing number of studies with promising results and the ongoing development of quality control procedures and software packages increases the interest in PWS data and their usage for specific applications.
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Giazzi, Marco, Gianandrea Peressutti, Luca Cerri, Matteo Fumi, Isabella Francesca Riva, Andrea Chini, Gianluca Ferrari, et al. "Meteonetwork: An Open Crowdsourced Weather Data System." Atmosphere 13, no. 6 (June 7, 2022): 928. http://dx.doi.org/10.3390/atmos13060928.
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Citizen science has shown great potential for bringing large groups of people closer to science, thanks in part to cooperation with universities and research centers. In this context, amateur weather networks played a major role in the last few decades thanks to a constant growth in technology. An example is given by the Meteonetwork association, born in 2002, and mainly composed by atmospheric science enthusiasts, who built up in time a huge weather station network in Italy. In recent years, they have enlarged their horizons over Europe, displaying real time observations and daily maps coming from both personal weather stations and official networks. This study described how Meteonetwork has set up an open crowdsourced weather data system, how data are validated, and which products are generated and freely accessible for scientists and stakeholders for their own purposes. Two concrete use cases were described as examples: the Weatherness Project, which selects a subnet of Meteonetwork data for biometeorological and health purposes and the data assimilation process implemented to improve the initial conditions into the WRF meteorological model for daily weather forecasts.
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Zavattaro, Staci M., and Kelly A. Stevens. "Broadcast Meteorologists and Personal Branding: An Exploratory Study after a Hurricane Crisis." Weather, Climate, and Society 14, no. 2 (April 2022): 611–20. http://dx.doi.org/10.1175/wcas-d-21-0139.1.
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Abstract Television station and on-air talent marketing and branding has been studied with increasing attention because there is recognition that the people are part of an overall brand strategy. In this paper, we focus on broadcast meteorologists and their views of their personal brands and how those work to engage audiences. With Hurricane Dorian in 2019 as the background major weather event, the paper focuses on how on-air meteorologists develop their brand identities. From these interviews, we find 1) personal branding to build trust is paramount, 2) social media are game changers for personal branding, and 3) station branding can influence personal branding. Our findings shed light on the tension some on-air meteorologists experience when seeing themselves as a commodity while also trying to build trust as an expert crisis communicator. Significance Statement The purpose of our study is to examine how on-air meteorologists understand the role that personal branding plays—if any at all—in helping them deliver information to viewers. In previous research, Daniels and Loggins noted that, as the landscape for communicating lifesaving information changes, understanding how on-air meteorologists understand their roles and personal identities becomes paramount. If weather is a product, the people delivering the information become part of the product and overall brand strategy, according to Daniels and Loggins. Our exploratory study indicates that personal branding poses some opportunities and challenges for on-air meteorologists, who sometimes see an internal conflict between station branding strategies and their roles as scientists.
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Bárdossy, András, Jochen Seidel, and Abbas El Hachem. "The use of personal weather station observations to improve precipitation estimation and interpolation." Hydrology and Earth System Sciences 25, no. 2 (February 10, 2021): 583–601. http://dx.doi.org/10.5194/hess-25-583-2021.
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Abstract. The number of personal weather stations (PWSs) with data available through the internet is increasing gradually in many parts of the world. The purpose of this study is to investigate the applicability of these data for the spatial interpolation of precipitation using a novel approach based on indicator correlations and rank statistics. Due to unknown errors and biases of the observations, rainfall amounts from the PWS network are not considered directly. Instead, it is assumed that the temporal order of the ranking of these data is correct. The crucial step is to find the stations which fulfil this condition. This is done in two steps – first, by selecting the locations using the time series of indicators of high precipitation amounts. Then, the remaining stations are then checked for whether they fit into the spatial pattern of the other stations. Thus, it is assumed that the quantiles of the empirical distribution functions are accurate. These quantiles are then transformed to precipitation amounts by a quantile mapping using the distribution functions which were interpolated from the information from the German National Weather Service (Deutscher Wetterdienst – DWD) data only. The suggested procedure was tested for the state of Baden-Württemberg in Germany. A detailed cross validation of the interpolation was carried out for aggregated precipitation amount of 1, 3, 6, 12 and 24 h. For each of these temporal aggregations, nearly 200 intense events were evaluated, and the improvement of the interpolation was quantified. The results show that the filtering of observations from PWSs is necessary as the interpolation error after the filtering and data transformation decreases significantly. The biggest improvement is achieved for the shortest temporal aggregations.
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Gibbons, John, Kristina Collins, David Kazdan, and Nathaniel Frissell. "Grape Version 1: First prototype of the low-cost personal space weather station receiver." HardwareX 11 (April 2022): e00289. http://dx.doi.org/10.1016/j.ohx.2022.e00289.
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Hewage, Pradeep, Ardhendu Behera, Marcello Trovati, Ella Pereira, Morteza Ghahremani, Francesco Palmieri, and Yonghuai Liu. "Temporal convolutional neural (TCN) network for an effective weather forecasting using time-series data from the local weather station." Soft Computing 24, no. 21 (April 23, 2020): 16453–82. http://dx.doi.org/10.1007/s00500-020-04954-0.
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Abstract Non-predictive or inaccurate weather forecasting can severely impact the community of users such as farmers. Numerical weather prediction models run in major weather forecasting centers with several supercomputers to solve simultaneous complex nonlinear mathematical equations. Such models provide the medium-range weather forecasts, i.e., every 6 h up to 18 h with grid length of 10–20 km. However, farmers often depend on more detailed short-to medium-range forecasts with higher-resolution regional forecasting models. Therefore, this research aims to address this by developing and evaluating a lightweight and novel weather forecasting system, which consists of one or more local weather stations and state-of-the-art machine learning techniques for weather forecasting using time-series data from these weather stations. To this end, the system explores the state-of-the-art temporal convolutional network (TCN) and long short-term memory (LSTM) networks. Our experimental results show that the proposed model using TCN produces better forecasting compared to the LSTM and other classic machine learning approaches. The proposed model can be used as an efficient localized weather forecasting tool for the community of users, and it could be run on a stand-alone personal computer.
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Tiransri, Loudry Achmad, Favian Dewanta, and Hilal Hudan Nuha. "Analisis Quality of Service Modul NRF24L01 pada Sistem Stasiun Cuaca Lokal." TELKA - Telekomunikasi Elektronika Komputasi dan Kontrol 9, no. 1 (May 21, 2023): 44–51. http://dx.doi.org/10.15575/telka.v9n1.44-51.
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Internet of Things sering dimanfaatkan untuk menggantikan pekerjaan manusia secara otomatis, salah satu contohnya adalah sistem stasiun cuaca lokal. Stasiun cuaca lokal sering kali digunakan untuk melakukan pengamatan dan pendeteksian cuaca di kawasan rawan bencana yang belum terjangkau oleh jaringan internet. Sehingga pembuatan sistem stasiun cuaca lokal sering menggunakan modul pengiriman data secara nirkabel sebagai hub yang menghubungkan gateway jaringan dengan perangkat yang berada jauh di lapangan. Salah satu modul pengiriman secara nirkabel tersebut adalah modul NRF24L01 yang merupakan modul Wireless Personal Area Networks (WPAN) dengan daya kecil tetapi memiliki kecepatan pengiriman data yang tinggi. Sehingga pada penelitian ini penulis mengimplementasikan modul NRF24L01 pada sistem stasiun cuaca lokal dan melakukan analisis Quality of Service (QoS) dari komunikasi tersebut. Eksperimen dilakukan dengan cara pengiriman informasi dari transmitter menuju receiver yang bergerak bebas pada jarak tertentu dan kondisi kanal tertentu yang merepresentasikan LOS dan non-LOS. Selanjutnya, perhitungan quality of service (QoS) dari komunikasi antar modul NRF24L01 tersebut dilakukan dengan menggunakan metode Best Effort Service, dengan nilai packet loss sebesar 21,67% pada jarak pengiriman efektif yang kurang dari 300 meter dan kanal yang bersifat LOS, serta nilai packet loss sebesar 4,55% pada jarak pengiriman efektif yang kurang dari 70 meter dan kanal yang bersifat non-LOS. The Internet of Things is often used to replace human work automatically; one example is a local weather station system. Local weather stations often observe and detect weather in potential disaster areas the internet network has not reached. So, creating a local weather station system often uses wireless modules as a hub that connects the network gateway with devices far in the field. One of the wireless modules is the NRF24L01 module, a Wireless Personal Area Networks (WPAN) module with a small power but high data-sending speed. So in this study, the author implements the NRF24L01 module on the local weather station system and conducts a Quality of Service (QOS) analysis of the communication. The experiment was carried out by sending information from the transmitter to the receiver that moved freely at a certain distance and certain canal conditions representing LOS and Non-LOS. Furthermore, the calculation of the Quality of Service (QOS) of communication between the NRF24L01 module is carried out using the Best Effort Service method, with a loss packet value of 21.67% at an effective transmission distance of fewer than 300 meters and a LOS channel, and packet value Loss of 4.55% at an effective transmission distance of fewer than 70 meters and a non-LOS channel.
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Mandement, Marc, and Olivier Caumont. "Contribution of personal weather stations to the observation of deep-convection features near the ground." Natural Hazards and Earth System Sciences 20, no. 1 (January 24, 2020): 299–322. http://dx.doi.org/10.5194/nhess-20-299-2020.
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Abstract. The lack of observations near the surface is often cited as a limiting factor in the observation and prediction of deep convection. Recently, networks of personal weather stations (PWSs) measuring pressure, temperature and humidity in near-real time have been rapidly developing. Even if they suffer from quality issues, their high temporal resolution and their higher spatial density than standard weather station (SWS) networks have aroused interest in using them to observe deep convection. In this study, the PWS contribution to the observation of deep-convection features near the ground is evaluated. Four cases of deep convection in 2018 over France were considered using data from Netatmo, a PWS manufacturer. A fully automatic PWS processing algorithm, including PWS quality control, was developed. After processing, the mean number of observations available increased by a factor of 134 in mean sea level pressure (MSLP), of 11 in temperature and of 14 in relative humidity over the areas of study. Near-surface SWS analyses and analyses comprising standard and personal weather stations (SPWSs) were built. The usefulness of crowdsourced data was proven both objectively and subjectively for deep-convection observation. Objective validations of SWS and SPWS analyses by leave-one-out cross validation (LOOCV) were performed using SWSs as the validation dataset. Over the four cases, LOOCV root-mean-square errors (RMSEs) decreased for all parameters in SPWS analyses compared to SWS analyses. RMSEs decreased by 73 % to 77 % in MSLP, 12 % to 23 % in temperature and 17 % to 21 % in relative humidity. Subjectively, fine-scale structures showed up in SPWS analyses, while being partly, or not at all, visible in SWS observations only. MSLP jumps accompanying squall lines or individual cells were observed as well as wake lows at the rear of these lines. Temperature drops and humidity rises accompanying most of the storms were observed sooner and at a finer resolution in SPWS analyses than in SWS analyses. The virtual potential temperature was spatialized at an unprecedented spatial resolution. This provided the opportunity for observing cold-pool propagation and secondary convective initiation over areas with high virtual potential temperatures, i.e. favourable locations for near-surface parcel lifting.
Dissertations / Theses on the topic "Personal weather station"
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Demortier, Alan. "Utilisation des données de capteurs météorologiques connectés pour la prévision numérique à courte échéance de phénomènes de méso-échelle." Electronic Thesis or Diss., Université de Toulouse (2023-....), 2024. http://www.theses.fr/2024TLSEP072.
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L'assimilation de données à méso-échelle permet d'initialiser les modèles régionaux de prévision numérique du temps, en combinant une ébauche du modèle avec les observations disponibles notamment à cette échelle. L'émergence de stations météorologiques connectées fournit une source d'observations d'opportunité permettant de densifier le réseau d'observation de surface. Ces nouvelles stations permettent d'observer à fine échelle la convection profonde près de la surface (Mandement, 2020). Cette thèse propose ainsi d’explorer la capacité de ces observations d'opportunité de température, d’humidité relative et de pression à améliorer la prévision de phénomènes météorologiques de méso-échelle, en les assimilant dans le modèle régional AROME-France.L'étape de pré-traitement de ces observations est nécessaire pour corriger et filtrer les observations considérées anormales vis-à-vis de l'ébauche du modèle, et d'écrémer les observations spatialement proches. Ce pré-traitement permet d'apporter à l'assimilation près de 129 fois plus d'observations au sol de pression, 3 fois plus d'observations de température et 6 fois plus d'observations d'humidité relative que dans le cas où seules les observations standards de surface sont utilisées. Des expériences avec et sans les observations d'opportunité ont été menées (méthode OSE) sur une période d'un mois. Ces OSE ont d'abord été réalisées en assimilant de manière indépendante les trois types d'observations d'opportunité susmentionnés, puis de manière conjointe. Les résultats de l'assimilation des observations d'opportunité de pression montrent une diminution de l'écart quadratique moyen entre la prévision à 1 h d'échéance et les observations standards de pression de 10.3 % en France, avec le schéma 3DEnVar. Il en est de même pour l'assimilation des observations d'opportunité de température et d'humidité relative, qui permettent une diminution de 0.9 % et de 1 % respectivement par rapport aux observations standards de la même grandeur. Avec le réglage actuel du schéma 3DEnVar, il apparaît que les observations de surface disposent d'un poids moindre à l'analyse par rapport aux autres observations et par rapport à l'ébauche. L'assimilation de nombreuses observations d'opportunité de surface contribue à compenser cet effet.Le type de schéma d'assimilation et son réglage jouent un rôle important dans l'assimilation de ces nouvelles observations. Le schéma d'assimilation 3DVar n'est ainsi pas capable de tirer profit des observations d'opportunité, du fait de la création d'incréments à la fois isotropes et de grandes dimensions horizontales. Des études de cas ont été menées, dans un premier temps sur des situations comportant de forts gradients de pression de surface — comme dans le cas d'un système convectif de méso-échelle, d'un front, d'une dépression de méso-échelle ou d'un mascaret atmosphérique ; puis dans des cas comportant de forts gradients de température ou d'humidité relative près de la surface — dans des cas de brise de mer, de brouillard, d'îlot de chaleur urbain ou de ligne orageuse. Ces études de cas ont permis de mettre en évidence la capacité des observations d'opportunité à améliorer la représentation de ces phénomènes, en contraignant l'analyse près de la surfaceMesoscale data assimilation is used to initialise regional numerical weather prediction models, by combining a first guess with the available observations particularly at this scale.The emergence of personal weather stations (PWS) is a source of observations that can be used to densify the surface observation network. These new observations have demonstrated their ability to observe deep convection near the surface at fine scales. This thesis proposes to explore the capacity of these temperature, relative humidity and pressure observations to improve the forecasting of mesoscale meteorological phenomena, by assimilating them in the AROME-France regional model.These observations need to be pre-processed in order to correct and filter out observations that are considered anomalous in relation to the first model guess, and to be thinned out to remove close observations in space.This pre-processing makes it possible to assimilate almost 129 times more pressure observations, 3 times more temperature observations and 6 times more relative humidity observations than in the case where only standard surface observations are used.Experiments with and without the PWS observations were carried out (OSE method) over a period of one month. These OSEs were first carried out by assimilating the three types of PWS observations mentioned above independently, and then jointly. The results of the assimilation of PWS pressure observations show a reduction in the mean square deviation between the 1 h forecast and the standard pressure observations of 10.3 % in France, using the 3DEnVar scheme. The same applies to the assimilation of PWS temperature and relative humidity observations, which result in a reduction of 0.9 % and 1 % respectively compared to standard observations of the same parameter. With the current setting of the 3DEnVar scheme, it appears that surface observations are given less weight in the analysis than both other observations and the first guess. The assimilation of many PWS surface observations helps to compensate for this effect.The type of assimilation scheme and its adjustment play an important role in the assimilation of these new observations. The use of the 3DVar assimilation scheme is thus unable to take advantage of dense PWS observations, due to the creation of increments that are both isotropic and of large horizontal dimensions.Case studies were carried out, firstly on situations involving strong gradients in surface pressure - as in the case of a mesoscale convective system, a front, a mesoscale low pressure system or an atmospheric bore; then on cases involving strong gradients in surface temperature or relative humidity - in the case of a sea breeze, a fog, an urban heat island or a squall line. These case studies highlighted the ability of PWS observations to improve the representation of these phenomena, by constraining the surface analysis
Books on the topic "Personal weather station"
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Dege, Wilhelm. War north of 80: The last German Arctic weather station of World War II. Calgary: University of Calgary Press, 2003.
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Young, George A. CBI diary: China-Burma-India : the experiences of an Army Air Forces weather forecaster in the unique, complex and challenging, but often overlooked, China-Burma-India Theater of World War II. Baltimore, MD: Gateway Press, 2005.
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Mexico. Weather stations: Agreement between the United States of America and Mexico extending the agreement of July 31, 1970, as amended and extended, effected by exchange of notes, signed at Tlatelolco and Mexico March 13 and 29, 1985, and exchange of notes, signed at Tlatelolco and Mexico September 13 and October 4, 1985, and exchange of notes, signed at Mexico March 26 and April 3, 1986. Washington, D.C: Dept. of State, 1994.
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Mexico. Weather stations: Agreements between the United States of America and Mexico, extending the agreement of July 31, 1970, as amended and extended, effected by exchange of notes, dated at Mexico and Tlatelolco, January 26 and February 10, 1984, and exchange of notes dated at Mexico and Tlatelolco May 24 and 28, 1984, and exchange of notes, signed at Tlatelolco and Mexico September 28 and October 15, 1984. Washington, D.C: Dept. of State, 1992.
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Dege, Wilhelm, and William Barr. War North of 80: The Last German Arctic Weather Station of World War II. University of Calgary Press, 2004.
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Dege, Wilhelm, and William Barr. War North Of 80: The Last German Arctic Weather Station of World War II. University of Calgary Press, 2004.
Find full textBook chapters on the topic "Personal weather station"
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Sasirekha, S., and S. Swamynathan. "Fuzzy Rule Based Environment Monitoring System for Weather Controlled Laboratories Using Arduino." In Fuzzy Systems, 855–72. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-1908-9.ch038.
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Weather controlled laboratories such as blood banks, plasma centers, biomedical, research, pharmacy and healthcare always require a portable, low cost and web-based centralized wireless monitoring system. However, it has become more stringent to monitor various weather controlling devices of these laboratories in order to reduce the risk of non-compliance with accreditation requirements. In literature, it is inferred that the majority of existing event detection approaches relies only on precise value to specify event thresholds, but those values cannot adequately handle the imprecise sensor reading. Therefore, in this work, one of the soft computing technologies, fuzzy logic is adopted to demonstrate that fuzzy rule based value significantly improves the accuracy of event detection. The prototype built is tested in a physical laboratory as a personal mobile weather station for monitoring and analyzing the environmental conditions using fuzzy simulated values.
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Stefanov, Stefan. "Model of an Open-source Web GIS Application for Observation in case of Wildland Fires." In New Frontiers in Communication and Intelligent Systems, 547–53. Soft Computing Research Society, 2021. http://dx.doi.org/10.52458/978-81-95502-00-4-56.
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The purpose of this study is to present a net-based GIS application that was created via open-source software and toolkits. It shows data taken in real time and recorded in a SQL database from a personal meteorological station in Kresna, Blagoevgrad, Republic of Bulgaria. The software visualizes open weather data from Open Weather Maps (OWS) and Copernicus Emergency Management Service to provide more detailed information on the present situation (CEMS). OWS provides customers with access to a wide range of weather information. CEMS offers rapid and reliable geospatial data to all players involved in natural disaster management. The article includes the concept as well as the software system implementation of the Web GIS application for surveillance in the case of wildland fires. The app was built using QGIS and other open-source applications and technologies.
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Overeem, Aart, Remko Uijlenhoet, and Hidde Leijnse. "Quantitative precipitation estimation from weather radars, personal weather stations and commercial microwave links." In Advances in Weather Radar. Volume 3: Emerging applications, 27–68. Institution of Engineering and Technology, 2023. http://dx.doi.org/10.1049/sbra557h_ch2.
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Giddins, Gary. "Continuing Education (Marian McPartland)." In Weather Bird, 450–53. Oxford University PressNew York, NY, 2006. http://dx.doi.org/10.1093/oso/9780195304497.003.0114.
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Abstract Marian McPartland’s learning curve is apparently infinite, an Escher-like, Velcro-covered loop that keeps picking up incremental details as it winds its way through jazz for six decades, turning what began as a generic approach into something personal. Her early ‘50s records, made at the start of her eight-year engagement at the Hickory House, reveal a gifted pianist with accomplished technique and a passable understanding of contemporary currents. But her playing was often polite—stylish without suggesting much individual style. Yet even by that time, Margaret Marian Turner of Windsor, England, had wended her way through much music history, forging her approach with at least as much stubborn persistence as natural talent. She was born in 1918, and began playing by ear; years of formal study followed, but in her early teens she discovered jazz and begin imitating records. “I just played everything,” she told me a few years ago, on the occasion of her widely celebrated 80th birthday: “Duke Ellington was my big inspiration, and then I tried to play like Teddy Wilson.” She won a few scholarships, including one that enrolled her in London’s Guildhall School of Music, which she abandoned before graduation to go out on a tour in vaudeville. In 1944, while entertaining troops in Belgium, she met trumpeter and Beiderbecke acolyte Jimmy McPartland. Stationed deep in the Ardennes, he came to her rescue by commandeering a grand piano from a family of Nazi sympathizers so that she could play a concert. They married and settled in New York in 1946, and though her work with Jimmy was Dixieland, she instantly began to soak up the forces of modernism, asking and receiving advice from Bud Powell and Lennie Tristano, among others, and leading her own trio with Bill Crow and Joe Morello.
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Gharesifard, Mohammad, and Uta Wehn. "What Drives Citizens to Engage in ICT-Enabled Citizen Science?" In Analyzing the Role of Citizen Science in Modern Research, 62–88. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-0962-2.ch004.
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In order for citizen science initiatives to pan out well, various actors need to be willing to engage in citizen science activities. The particular interest in this chapter lies with the citizens and their motivations to participate in ICT-enabled citizen science since, arguably, without citizen participation, there is no citizen science activity. The authors examine in detail what determines citizens' interest to share their weather-related data collected with Personal Weather Stations via online amateur networks and how these citizen activities could be up-scaled to address prevalent hydro-meteorological data gaps. A decision making theory is used to guide empirical research in three European countries. The results indicate no regional differences between the main drivers and incentives and raise the question whether weather observation is still a male-dominated activity in the digital age which would have implications for upscaling this citizen science initiative.
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Knapp, Alan K. "Growing Up with the Konza Prairie Long-Term Ecological Research Program." In Long-Term Ecological Research. Oxford University Press, 2016. http://dx.doi.org/10.1093/oso/9780199380213.003.0036.
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As someone who began working at a Long-Term Ecological Research (LTER) site prior to beginning his PhD studies, there is little doubt that the LTER program has been a major influence on all aspects of my scientific career. Working within the LTER program has provided me with great appreciation for the power of collaboration, large-scale and long-term experiments, and cross-disciplinary interactions. Scientists within the LTER network are among the most successful and influential in the world, and thus associating with them has many positive professional and personal consequences. Among the most valuable professional benefits are opportunities for exposure to ideas well beyond what a scientist experiences in a more typical research environment and the opportunity to collaborate and publish with scientists who are leaders in fields other than his or her own. My experience with the LTER program began in January 1982 with my employment at the Konza Prairie site (KNZ) in northeastern Kansas. I had recently completed an MS (in botany with a focus on subalpine plant ecophysiology) at the University of Wyoming, and I knew nothing about the new (at the time) LTER program. But at the urging of a fellow graduate student, Don Young (who eventually took a position at Virginia Commonwealth University and has long been involved with the Virginia Coast Reserve site), I applied for a research assistant position advertised in Science. This position description specifically highlighted that skills and experience were needed in abiotic measurements (i.e., installing a weather station and precipitation gauge networks and taking charge of monitoring climatic variables); these were tasks with which I had familiarity as part of my graduate program. As a lifelong resident of the western third of the United States and a fan of the mountains (often openly speaking negatively about grasslands!), I was not keen to even consider a position in eastern Kansas. But Don Young was an effective advocate and stressed the importance of keeping an open mind, something I try to stress with my students today. After presenting my research at the meeting of the Ecological Society of America in 1981, Don and I and a few other graduate students stopped in Manhattan, Kansas, as we drove cross-country from Bloomingt on, Indiana, to Laramie, Wyoming.
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Anderson, Neil. "Pedal Powered Wireless Internet in the Laotion Jungle." In Global Information Technologies, 3678–84. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-939-7.ch260.
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A chance meeting with Jhai foundation founder, Lee Thorn, over breakfast during the 2003 “UN World Summit on the Information Society” in Geneva has led to the author becoming very interested in an exciting, innovative project currently being trailed in Laos. This project aims to bring wireless Internet connectivity to remote villages that lack access to electricity and other services generally regarded as prerequisites for entering the digital age. The project is based on cooperative development with local people to produce and develop a system based on a rugged, long lasting, and weather-proof Linux-based computer connected to the Internet via antenna, a repeater station and a link through an ISP located in the nearest large centre. This article will outline the technical features of the project, the advantages currently arising from the project, and an overview of the personnel currently involved and their roles in the project. This will be followed by a discussion of broader and diverse issues associated with bringing new technologies to people living in isolated and poverty affected areas like Laos. These include ethical issues around perceived cultural imperialism, prioritised allocation of resources, unequal access and effects of globalisation. Issues of a more practical nature also arise with respect to sustainability, advantages and disadvantages, and future directions.
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Anderson, Neil. "Pedal Powered Wireless Internet in the Laotion Jungle." In Encyclopedia of Developing Regional Communities with Information and Communication Technology, 544–49. IGI Global, 2005. http://dx.doi.org/10.4018/978-1-59140-575-7.ch097.
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A chance meeting with Jhai foundation founder, Lee Thorn, over breakfast during the 2003 “UN World Summit on the Information Society” in Geneva has led to the author becoming very interested in an exciting, innovative project currently being trailed in Laos. This project aims to bring wireless Internet connectivity to remote villages that lack access to electricity and other services generally regarded as prerequisites for entering the digital age. The project is based on cooperative development with local people to produce and develop a system based on a rugged, long lasting, and weather-proof Linux-based computer connected to the Internet via antenna, a repeater station and a link through an ISP located in the nearest large centre. This article will outline the technical features of the project, the advantages currently arising from the project, and an overview of the personnel currently involved and their roles in the project. This will be followed by a discussion of broader and diverse issues associated with bringing new technologies to people living in isolated and poverty affected areas like Laos. These include ethical issues around perceived cultural imperialism, prioritised allocation of resources, unequal access and effects of globalisation. Issues of a more practical nature also arise with respect to sustainability, advantages and disadvantages, and future directions.
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Hurson, Ali R., and Xing Gao. "Location-Based Services." In Electronic Services, 759–66. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-61520-967-5.ch046.
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The past decade has seen advances in wireless network technologies and an explosive growth in the diversity of portable computing devices such as laptop computers, handheld personal computers, personal digital assistants (PDAs), and smart phones with Internet access. Wireless networking technologies and portable devices enable users to access information in an “anytime, anywhere” fashion. For example, a mobile user (MU) on the highway may query local weather, traffic information, nearby gas stations, next rest areas, or restaurants within 10 miles. Such new demands introduce a new type of services, location-based services (LBS), where certain location constraints (e.g., the user’s current location) are used in the service provision. The idea of queries with location constraints is originally introduced by Imielinski and Badrinath (1992), in which mobile users are likely to query information relating to their current positions, leading to the need for LBS. Such services are also termed as location dependent information services (LDIS) in Lee, Lee, Xu, and Zheng (2002). LBS system is the context sensitive systems in a mobile computing environment that consider the user’s location as a significant and dynamic factor affecting the information and services delivered to the users. The major LBS applications include: • Destination guides with maps, driving directions, and real time prompt • Location-based traffic and weather alerts • Wireless advertising and electronic coupons to nearby mobile devices • Movie, theatre and restaurant location and booking • Store locating applications helping users to find the desired services • Telematics-based roadside assistance (e.g., OnStar from General Motors) • Personal content and messaging (Live Chat with friends) • Mobile Yellow Pages provide local information • Information Services (News, Stocks, Sports) • E911: (Wireless carriers provide wireless callers’ numbers and locations.) Generally, LBS services can be classified into three general categories: telematics LBS, Internet LBS, and wireless LBS (Telc). Telematics LBS is the integration of wireless communications, vehicle monitoring systems, and location devices. Telematics LBS applications include automated vehicle location, fleet tracking, online navigation, and emergency assistance. For example, a trucking company can track all their fleet, proactively warn about traffic ahead, and estimate the arrival time. Commercial LBS providers are beginning to offer important management applications that help direct vehicle fleets and ensure optimal usage of key assets. Telematics LBS is a multibillion dollar service industry and is currently the largest segment of the LBS market (Telc). Internet LBS provide Internet users the services relevant to their specified locations. Because they use a user-specified location instead of the user’s current location, no positioning technology is required. For example, one can find turn-by-turn driving direction from one location to another and search for tour information about the destination. These services are targeting applications with stationary users, relatively powerful computers, and reliable network connections. As a result, Internet LBS support sophisticated services, such as local business searching and comparison, trip planning, online virtual tours, and so forth. Wireless LBS deliver location relevant content to cell phones, PDAs, and other wireless devices. Equipped with automated positioning technologies, MUs can query local weather, nearby traffic information, and local businesses close to them. For example, a user can search neighboring post office or coffer shop from the PDA. The wireless LBS market is currently in a nascent stage, but it will potentially become the largest segment of the LBS market. The deployment of third generation (3G) mobile network, which support handsets that are both mobile and location sensitive, will lead to more wireless LBS subscribers and more useful LBS applications.
Conference papers on the topic "Personal weather station"
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Cunningham, Jonathan, Maria Asencio, Steve Lent, and Chris Brinton. "The categorization of wind shift events using metar and personal weather station data." In 2014 Integrated Communications, Navigation and Surveillance Conference (ICNS). IEEE, 2014. http://dx.doi.org/10.1109/icnsurv.2014.6820019.
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Droździoł, Radosław, Damian Absalon, and Ewa Łupikasza. "The possibility of using personal weather station networks to verify and evaluate local extreme phenomena." In PROCEEDINGS OF THE INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2019 (ICCMSE-2019). AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5138034.
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Pietraru, Radu nicolae, Alexandrustefan Banu, Stefan Mocanu, and Daniela Saru. "LOW COST TECHNOLOGIES FOR AWARENESS AND EARLY WARNING IN CONDITIONS OF SEVERE WEATHER." In eLSE 2018. Carol I National Defence University Publishing House, 2018. http://dx.doi.org/10.12753/2066-026x-18-118.
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Current and upcoming weather forecasts play a very important role in our society, from big companies to each simple individual that wants to be prepared and adapt to any changes. Many entities use data provided by each country’s National Weather Service in order to combat any negative impact the conditions may have on their daily activities. Unfortunately, the service does not provide a very accurate set of parameters, instead it gives an average forecast for a given area of interest. Here is where personal weather stations come to the rescue. Not only they are cheap and easy to set up, but they also provide the user with the exact data he wants. Depending on each individual’s needs, the weather station can be adjusted and equipped with a wide range of sensors, ranging from wind speed and UV radiation to air quality sensor. Using an Arduino development board (or equivalent) that is available on a large scale, the integration of the sensors can be done without many challenges and, if the user does want to implement this feature, the acquired data can be uploaded and used on the internet. Being supported by a very large community, Arduino boards can implement these features without implying a big money or time penalty. One of the most important aspects a weather station brings, apart from the possibility to build it at a very low price, is that the user can have access to any weather data that defines his area of interest, thus increasing the accuracy and the resolution of the forecast and allows early warning in case of extreme weather phenomena.
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Joshi, Dev, Nathaniel Frissell, William Liles, Juha Vierinen, and Ethan S. Miller. "Early Results from the Ionospheric Sounding Mode Using Chirp Ionosondes of Opportunity for the HamSCI Personal Space Weather Station." In 2021 XXXIVth General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS). IEEE, 2021. http://dx.doi.org/10.23919/ursigass51995.2021.9560441.
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Chollet, Gérard, Hugues Sansen, Yannis Tevissen, Jérôme Boudy, Mossaab Hariz, Christophe Lohr, and Fathy Yassa. "Privacy Preserving Personal Assistant with On-Device Diarization and Spoken Dialogue System for Home and beyond." In Human Interaction and Emerging Technologies (IHIET-AI 2024). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1004577.
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In the age of personal voice assistants, we have witnessed the proliferation of "personal" vocal companions across smartphones, smart speakers, and other smart devices. Yet, the question arises: Are these virtual assistants genuinely "personal"? The answer may surprise you. Most of these digital companions lack the ability to remember past interactions or truly understand who you are. They heavily rely on an internet connection to process your spoken words in remote servers. Even though users provide informed consent for these interactions, concerns linger regarding potential misuse of speech data, like invasive targeted advertising. The advent of high-performance co-processors, such as GPUs and TPUs, in modern smartphones has rendered cloud-based speech processing obsolete, paving the way for local, on-device solutions.Personal assistants for the elderly serve a unique role, requiring functionalities distinct from those catering to digital natives. Notably, they must excel at aiding memory recall during conversations, making them invaluable in scenarios like medical examinations. By documenting and contextualizing exchanges during medical visits through diarization, a personal assistant can empower individuals or caregivers to revisit and understand the details at their convenience. This autonomy necessitates operation without an internet connection, ensuring utmost privacy during such sensitive interactions.The e-ViTA project has successfully developed a versatile conversational application with a rich set of features:• Local use on both Android and iOS smartphones, no internet connection required.• The capability to remember previous interactions.• Speaker recognition for personalized experiences.• Local processing for automatic speech recognition, spoken language understanding, dialogue management, and speech synthesis.• Secure web searches after anonymizing requests.• The ability to handle telephone calls, read emails, SMS, and messages.• Text preparation through voice dictation.• Assistance with daily activities and acting as a companion or butler.• Facilitating inter-lingual communication via integration with TalkMondo, among other functions.Unlike facial recognition, vocal recognition, and speaker differentiation provide a less invasive and cost-effective solution. Being based on the smartphone's microphone, they do not rely on the camera, which would necessitate complex mechanisms to track the speaker's position.This paper highlights the critical importance of speaker diarization, which allows the system to preserve users' conversations while ensuring the highest level of privacy. Additionally, when deployed on embedded devices, this technology can contribute to monitoring the well-being of the elderly, offering vital contextual information enriched by domotics sensors (motion, intrusion, door or window sensors), actimetry sensors from smartphones or smartwatches, or weather station. The data fusion of these different data streams leverages more personalized and optimized assistance and services, through user-adapted dialogues, or the elderly based on his context and activity.In conclusion, the ability of a system to generate personalized dialogue synthesis is pivotal in the realm of personal voice assistants. With secure, local processing and advanced features, such as speaker differentiation and diarization, enriched by sensor data fusion, we can ensure that virtual companions truly cater to the individual needs of users, without compromising their privacy or data security. This marks a significant step towards a more "personal" experience with our digital assistants.
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Hashemi, Seyed Reza, Roja Esmaeeli, Haniph Aliniagerdroudbari, Muapper Alhadri, Hammad Alshammari, Ajay Mahajan, and Siamak Farhad. "New Intelligent Battery Management System for Drones." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-10479.
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Abstract Drones or Unmanned Aerial Vehicles (UAV) are the aircraft controlled remotely by radio waves or autonomously and can fly without a pilot and passengers. Demands for drones with long flight times are increasing significantly in the personal and commercial applications. One of the main issues about drones is their power management. However, these devices are powered by a high energy density lithium battery, but a flight time range could be about 20–40 min. Increasing the battery energy storage capacity to achieve more flight time is not usually a good idea due to the additional weight in drones. In order to solve this issue, an Intelligent Battery Management System (IBMS) is proposed to predict the maximum available energy of the battery pack to make the best decision for finding the closest charging station depending on different weather conditions. In this study, lithium-ion battery with lithium titanite oxide (LTO) anode, as a fast charging and fast discharging battery, is used as the drone power supply. The proposed IBMS can not only increase the performance and life of the battery system but also it can estimate the battery cells state of charge (SOC) based on a system identification method. Results show that the proposed system has an accurate estimation of the maximum available energy, and therefore accurate flight time prediction to find the best recharging node for the drone.
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Moya, John Erick Malpartida. "Managing Geohazards in Hard Conditions: Monitoring and Risk Assessment of Pipelines That Crosses Amazonian Jungles and the Andes." In ASME 2015 International Pipeline Geotechnical Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/ipg2015-8532.
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The hydrocarbon transmission system that belongs to Transportadora de Gas del Perú (TGP), comprise two parallel pipelines: a natural gas (NG) pipeline, which runs from the upstream facilities at Malvinas, in the Amazonian jungle of Cusco-Peru, to a reception station at Lurín (south of Lima); and a natural gas liquid (NGL) pipeline, which transports the condensed liquids from Malvinas to Pisco, on the coast of Peru. The right-of-way (ROW) crosses the Peruvian jungle with both pipelines in its first 200 kilometers, after climbs over the Andes Mountains at an elevation of 4860 masl, and descends steeply toward the coast along the Pacific Ocean. TGP’s Pipeline Integrity Management System (PIMS) has identified the Weather and Outside Forces such as main threat which increases the risk of the integrity of its pipelines in jungle and mountains areas. In pipelines with particular characteristics such as pipeline which crosses the Andes and the Amazonian jungle, this threat can cause even a greater number of failures than other threats such as Corrosion or TPD. This threat caused the 70% of the leaks of our NGL pipeline. The geotechnical and geologic conditions were key factors in the risk level of the system since the beginning of the operation. The PIMS of TgP has achieved an important development in the use and suitable handling of the information provided by diverse techniques of pipeline mechanical and the geotechnical inspection and monitoring of the ROW. Different alternative techniques of monitoring have to be taken into account. It is important also to take into account alternative assessment methodologies in order to determine the pipeline exposure, resistance and mitigation to this threat. By integrating these inspections, monitoring and particular assessments as part of PIMS, we have been able get accurate risk assessments in order to mitigate and/or minimize the occurrence of failures. In this way we are able to optimize efforts to preserve the integrity of our system and in addition minimize personal, environmental and business impact. Risk Assessment is an essential part of the Integrity Management System. Our company developed a very comprehensive and detailed Risk Assessment Model based on the guidelines of API 1160 and ASME B31.8S. The probability model is based on logic trees instead indexing models (the most commonly used), that is because we want to reflect in the result all the variables and factors: Exposition, Resistance and Mitigation Factors. By means of the pipeline Integrity Management System developed by TGP, we are able to mitigate risks due to outside forces. We have been able to act before any event becomes critical: TGP NGL pipeline’s failure rate due to WOF (number of failures per 1000 kilometers-years) decreases substantially from 5.39 to 1.26 in ten years of operation. For the whole system that rate decreases from 2.33 to 0.46.
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Faiz, Qurat, and Jorge E. González. "Climatology and Trends of Heat Index, Human Discomfort Index and Energy per Capita for CONUS and Meso-America." In ASME 2021 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/imece2021-72532.
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Abstract Air temperature and humidity both affect the human comfort and health in warm and humid climates. An effective way to measure the overall effect of temperature and humidity on human comfort (or discomfort) is using the term referred as Heat Index (HI). The HI is a measure of how people “feel” when exposed to warm and humid environments, making it an effective variable to explain the effects of heat in people, to alert of heat advisories, and to reform public health policies. Evidently, heat index is a changing variable with geography and with climate seasons and change. This research aims to investigate the spatial and temporal trends of Heat Index and energy per capita (EPC) in the Continental US (CONUS) and the Meso-America (the Caribbean, and Northern Regions of South America). In order to investigate the spatial and temporal distribution and trends of heat index and EPC in different regions of the CONUS and the Meso-America, hourly air temperature and relative humidity datasets were collected from two sources; The National Center for Atmospheric Research (NCEP) North American Regional Reanalysis (NARR) and weather stations for the period of thirty years: 1990 to 2019. The Algorithm used in our study to determine the HI is similar to the one used by the National Weather Service (NWS) measuring air temperature in degrees Fahrenheit (T) and relative humidity in percent (RH). Our analysis of the HI and EPC climatology for the summer season for Southeast US and the Meso-America exhibits the largest values in Southeast US, followed by the Greater Antilles, and then the Lesser Antilles. HI is used herein to quantify the impacts of these warming trends on EPC. Results of the analysis depict a Southern Greater Antilles with a positive EPC rate of 2 kWh per year for summer season. These spatial trends using NARR data were found to correlate very well with selected weather stations and were also determined to be statistically significant. The state level trends of electricity consumption per person per year (Figure 5.) suggests, in general, a correlation between trends on total energy consumption per capita and increasing maximum heat index. Therefore, increased energy production and improved energy infrastructure will be required to maintain ideal indoor building conditions as consequence of a warmer climate.
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Scott, Justin, Micah D'Arcangelo, Benjamin Olness, Michele Grimm, and Tamara Bush. "An Assessment of Current Barriers to Accessibility in Public Transportation Pick Up/Drop Off Zones and How Solutions may be Applied to Autonomous Vehicles." In WCX SAE World Congress Experience. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2023. http://dx.doi.org/10.4271/2023-01-0713.
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<div class="section abstract"><div class="htmlview paragraph">Challenges that persons with disabilities face with current modes of transportation have led to difficulties in carrying out everyday tasks, such as grocery shopping and going to doctors’ appointments. Autonomous vehicles have been proposed as a solution to overcome these challenges and make these everyday tasks more accessible. For these vehicles to be fully accessible, the infrastructure surrounding them need to be safe, easy to use, and intuitive for people with disabilities. Thus, the goal of this work was to analyze interview data from persons with disabilities, and their caregivers, to identify barriers to accessibility for current modes of transportation and ways to ameliorate them in pick up/drop off zones for autonomous vehicles. To do this, interview subjects were recruited from adaptive sports clubs, assistive living facilities, and other disability networks to discuss challenges with current public transit stops/stations. Responses to questions were recorded and later analyzed qualitatively and quantitatively to determine 1) common challenges with the current infrastructure around public transit and 2) the number of people who experienced each common challenge. Four challenges were mentioned by nearly every participant: timing or scheduling the transportation, uneven surfaces near the pick up/drop off zone, weather, and steep inclines around the pick up/drop off zone. Each challenge hampered the interview subjects’ ability to access their target vehicle and were mentioned by 90% of the subjects. These challenges informed solutions that could be applied to autonomous vehicle pick up/drop off zones and included on-site ride hailing mechanisms and enclosed, or at least covered, raised platforms with appropriately graded inclines. These solutions were explored using design software. Challenges with current transportation infrastructure were identified in this work, and their respective solutions can help ensure that future autonomous vehicles are accessible to persons with disabilities, a population for whom they have significant benefit.</div></div>
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Xue, Y. D., and Y. C. Hou. "An Ontology of Risk Management for Tunnel Construction." In 58th U.S. Rock Mechanics/Geomechanics Symposium. ARMA, 2024. http://dx.doi.org/10.56952/arma-2024-0780.
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ABSTRACT: This paper proposes a domain ontology for tunnel construction risk management. The construction process of the ontology is emphasized in this paper, encompassing top-level ontology design, trigger ontology, tunnel ontology, ground ontology, tunnel construction disaster terminology ontology, and the risk section. The ontology utilizes the OWL language to define properties, translating complex relationships in tunnel construction risk analysis into machine-readable language and supporting knowledge inference between entities. Furthermore, the paper introduces ontology inference rule design based on the SWRL rule language, enabling functionalities such as risk identification, assessment, and management through rule-based inference mechanisms. 1. INTRODUCTION 1.1. Background In practical risk management, personnel systematically assess on-site risk points using prepared risk control checklists and an indicator system. However, creating these checklists requires a high level of professionalism and on-site experience. The effectiveness of risk identification, comprehensiveness of assessment results, and accuracy of evaluation outcomes depend on the qualifications and experience of the checklist preparer. For instance, in addressing the risk of sudden water influx in underwater tunnels, experienced personnel consider factors like surrounding rock composition, adverse geology, and tunnel geometry. Transferring such implicit knowledge remains challenging, and the departure of experienced risk workers poses a significant loss for tunnel construction projects. Furthermore, the unique characteristics of each tunnel project complicate knowledge transfer in risk management across projects. Tunnel risk assessment is conducted in three stages: design, construction, and operation. At each stage, the tunnel risks are identified and assessed based on the geological survey report and relevant updated information. Underwater tunnel geological exploration is particularly challenging due to the limitations of technology, and the accuracy of exploration results needs improvement. Static assessment results compiled based on exploration reports cannot meet the demands of practical risk management. Therefore, it is essential to perform dynamic evaluations of tunnel construction risks based on continuously updated data during the construction process. There are two challenges that prevent dynamic risk management techniques from getting off the ground • On the one hand, dynamic risk assessment requires a comprehensive analysis of various data types, including geological survey data, advance geological forecasting data, monitoring measurement data, design plans, weather data, etc. However, these data belong to different units, each with its data storage platform, limited inter-unit data communication, and sometimes incompatible formats. • On the other hand, the data generated during tunneling has a temporal nature, and risk assessment through methods like numerical simulation is less efficient, making it challenging to respond dynamically to real-time updated data in complex decision scenarios.