Peningkatan Skalabilitas Mini Weather Station Portable berbasis Internet of Things
31 Oct 2019-Indonesian Journal of Electronics and Instrumentation Systems (Universitas Gadjah Mada)-Vol. 9, Iss: 2, pp 203-214
TL;DR: A portable mini weather station system was built named Amicagama with the concept of high scalability which means the system is designed to be used publicly, with each user able to manage the nodes which are their respective weather stations.
Abstract: Indonesia is a country that has unique weather that provides not only abundant natural resources but also can causes disasters at any time. To reduce the threat of losses, observing weather elements using a weather station is a solution that can be used. The development of systems related to environmental monitoring and weather stations is not new. However, most research focuses on various innovations in utilization, low cost and power savings. These studies have not touched on the aspect of ease of system development, especially in the concept of adding nodes. Indonesia, as a country with diverse regional topography, needs an integrated weather monitoring system with the concept of centralized data collection to get a complete picture. In this study, a portable mini weather station system was built named Amicagama. This system is built with the concept of high scalability which means the system is designed to be used publicly, with each user able to manage the nodes which are their respective weather stations. Management by each user here means that each user can manage weather data to be submitted, add nodes at a new location, and can delete nodes at a certain location if something unexpected happens.
Citations
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01 Oct 2018
TL;DR: This paper presents a power management solution for an Internet of Things based, battery operated weather station prototype and fine tuned the calculations to allow a switch from batteries to supercapacitors.
Abstract: This paper presents a power management solution for an Internet of Things (IoT) based, battery operated weather station prototype. A complete simulation software was developed to validate this system with real weather data. Through the help of the developed software and power consumption measurements made on the prototype an optimized system runtime was calculated and implemented. In order to reduce maintenance the calculations were fine tuned to allow a switch from batteries to supercapacitors.
8 citations
01 Oct 2015
TL;DR: An inseparable combination and implementation of these requirements allows you to solve the problem of optimal synthesis of an early warning system of thunderstorm hazards (THEW).
Abstract: Systematic monitoring of the status and trends of the thunderstorm activity of a given region is caused by necessity to minimize damage from lightning. Particular attention is paid to the reliability of the thunderstorm activity forecast and the time of its formation. So a small time span between the formation of a reliable forecast of the storm hazards and the onset of adverse events does not allow you to take timely measures for minimization the damage caused. Particular attention is paid to the reliability of the forecast generated. Thus, an inseparable combination and implementation of these requirements allows you to solve the problem of optimal synthesis of an early warning system of thunderstorm hazards (THEW).
2 citations
References
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TL;DR: If appropriate validation and quality control procedures are adopted and implemented, crowdsourcing has much potential to provide a valuable source of high temporal and spatial resolution, real-time data, especially in regions where few observations currently exist, thereby adding value to science, technology and society.
Abstract: Crowdsourcing is traditionally defined as obtaining data or information by enlisting the services of a (potentially
large) number of people. However, due to recent innovations, this definition can now be expanded to include ‘and/or from a
range of public sensors, typically connected via the Internet.’ A large and increasing amount of data is now being obtained
from a huge variety of non-traditional sources – from smart phone sensors to amateur weather stations to canvassing members
of the public. Some disciplines (e.g. astrophysics, ecology) are already utilizing crowdsourcing techniques (e.g. citizen science
initiatives, web 2.0 technology, low-cost sensors), and while its value within the climate and atmospheric science disciplines
is still relatively unexplored, it is beginning to show promise. However, important questions remain; this paper introduces
and explores the wide-range of current and prospective methods to crowdsource atmospheric data, investigates the quality of
such data and examines its potential applications in the context of weather, climate and society. It is clear that crowdsourcing
is already a valuable tool for engaging the public, and if appropriate validation and quality control procedures are adopted
and implemented, it has much potential to provide a valuable source of high temporal and spatial resolution, real-time data,
especially in regions where few observations currently exist, thereby adding value to science, technology and society.
271 citations
"Peningkatan Skalabilitas Mini Weath..." refers background in this paper
...Dalam kaitannya dengan konsep pengiriman data tersebut, beberapa peneliti juga telah mengembangkan konsep mini weather station menjadi suatu sistem untuk mengoleksi data secara terpusat dengan berbagai stasiun yang ditempatkan di titik-titik yang tersebar [21][22]....
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TL;DR: The theoretical framework developed identifies IoT priority areas and challenges, providing a guide for those leading IoT initiatives and revealing opportunities for future IoT research.
Abstract: The Internet of Things (IoT) global arena is massive and growing exponentially. Those in the emerging digital world have recently witnessed the proliferation and impact of IoT-enabled devices. The IoT has provided new opportunities in the technology arena while bringing several challenges to an increased level of concern. This research has both practical and theoretical impetus since IoT is still in its infancy, and yet it is considered by many as the most important technology initiative of today. This study includes a systematic review and synthesis of IoT related literature and the development of a theoretical framework and conceptual model. The review of the literature reveals that the number of applications that make use of the IoT has increased dramatically and spans areas from business and manufacturing to home, health care, and knowledge management. Although IoT can create invaluable data in every industry, it does not occur without its challenges. The theoretical framework developed identifies IoT priority areas and challenges, providing a guide for those leading IoT initiatives and revealing opportunities for future IoT research.
259 citations
"Peningkatan Skalabilitas Mini Weath..." refers background in this paper
...Salah satu hal yang dapat kita lihat dari efek paradigma tersebut adalah teknologi baru yang terus muncul dan semakin banyak pula objek yang dapat terhubung ke internet setiap harinya [26][27]....
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TL;DR: In this paper, the suitability of crowdsourced air temperature (Tcrowd) measurements from CWS by comparing Tcrowd from up to 1500 stations with reference air temperature in Berlin and surroundings for a period of twelve months (Jan-Dec 2015).
Abstract: Provision of accurate air temperature data in urban environments with high spatial and temporal resolution over long time periods remains a challenge in atmospheric research. Crowdsourcing, i.e., collection of atmospheric data from non-traditional sources like citizen weather stations (CWS), is an alternative and cost-efficient method for exploration and monitoring of urban climates. This study examines the suitability of crowdsourced air temperature (Tcrowd) measurements from CWS by comparing Tcrowd from up to 1500 stations with reference air temperature (Tref) in Berlin and surroundings for a period of twelve months (Jan–Dec 2015). Comprehensive quality assessment of Tcrowd reveals that erroneous metadata, failure of data collection, and unsuitable exposure of sensors lead to a reduction of data availability by 53%. Spatially aggregated raw data of Tcrowd already provide a robust estimate of hourly and daily urban air temperature in the study area. Quality-checked Tcrowd observations show spatio-temporal characteristics of the urban heat island in Berlin with higher spatial variability than Tref in built-up areas. Spatial density of Tcrowd in Berlin exceeds that of the reference monitoring network by far. However, rigorous data quality assessment is the key challenge in order to fully benefit from this novel data set for urban climate research.
153 citations
"Peningkatan Skalabilitas Mini Weath..." refers background in this paper
...Dalam kaitannya dengan konsep pengiriman data tersebut, beberapa peneliti juga telah mengembangkan konsep mini weather station menjadi suatu sistem untuk mengoleksi data secara terpusat dengan berbagai stasiun yang ditempatkan di titik-titik yang tersebar [21][22]....
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TL;DR: In this article, the authors used air temperature data from the prolific, low-cost, Netatmo weather station to quantify the urban heat island of London over the summer of 2015.
Abstract: Crowdsourcing techniques are frequently used across science to supplement traditional means of data collection. Although atmospheric science has so far been slow to harness the technology, developments have now reached the point where the benefits of the approaches simply cannot be ignored: crowdsourcing has potentially far-reaching consequences for the way in which measurements are collected and used in the discipline. To illustrate this point, this paper uses air temperature data from the prolific, low-cost, Netatmo weather station to quantify the urban heat island of London over the summer of 2015. The results are broadly comparable with previous studies, and indeed standard observations (albeit with a warm bias, a likely consequence of non-standard site exposure), showing a range of magnitudes of between 1 and 6 °C across the city depending on atmospheric stability. However, not all the results can be easily explained by physical processes and therefore highlight quality issues with crowdsourced data that need to be resolved. This paper aims to kickstart a step-change in the use of crowdsourcing in urban meteorology by encouraging atmospheric scientists to more positively engage with the new generation of manufacturers producing mass market sensors.
114 citations
"Peningkatan Skalabilitas Mini Weath..." refers background in this paper
...Rancangan tersebut menguntungkan dalam hal spasio-temporal, dimana data akan memiliki resolusi ruang dan waktu yang bagus untuk menggambarkan aktivitas dari besaran yang diamati secara lebih lengkap[23]....
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TL;DR: A new data augmentation scheme to substantially enrich the training data, which is used to train a latent SVM framework to make the solution insensitive to global intensity transfer, is proposed.
Abstract: Given a single outdoor image, we propose a collaborative learning approach using novel weather features to label the image as either sunny or cloudy. Though limited, this two-class classification problem is by no means trivial given the great variety of outdoor images captured by different cameras where the images may have been edited after capture. Our overall weather feature combines the data-driven convolutional neural network (CNN) feature and well-chosen weather-specific features. They work collaboratively within a unified optimization framework that is aware of the presence (or absence) of a given weather cue during learning and classification. In this paper we propose a new data augmentation scheme to substantially enrich the training data, which is used to train a latent SVM framework to make our solution insensitive to global intensity transfer. Extensive experiments are performed to verify our method. Compared with our previous work and the sole use of a CNN classifier, this paper improves the accuracy up to 7-8 percent. Our weather image dataset is available together with the executable of our classifier.
95 citations
"Peningkatan Skalabilitas Mini Weath..." refers background in this paper
...Selain itu, kondisi cuaca pada suatu daerah juga akan sangat berpengaruh terhadap kondisi masyarakatnya, mulai dari kegiatan sehari-hari hingga ke kegiatan industri[3]....
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