scholarly journals Earthquake Reconnaissance Data Sources, a Literature Review

Earth ◽  
2021 ◽  
Vol 2 (4) ◽  
pp. 1006-1037
Author(s):  
Diana Contreras ◽  
Sean Wilkinson ◽  
Philip James
Keyword(s):  
Data Collection ◽  
Laser Scanning ◽  
Building Damage ◽  
Current Data ◽  
Data Sources ◽  
Efficient Data ◽  
Data Source ◽  
Single Data ◽  
Post Disaster ◽  
Selection Of

Earthquakes are one of the most catastrophic natural phenomena. After an earthquake, earthquake reconnaissance enables effective recovery by collecting data on building damage and other impacts. This paper aims to identify state-of-the-art data sources for building damage assessment and provide guidance for more efficient data collection. We have reviewed 39 articles that indicate the sources used by different authors to collect data related to damage and post-disaster recovery progress after earthquakes between 2014 and 2021. The current data collection methods have been grouped into seven categories: fieldwork or ground surveys, omnidirectional imagery (OD), terrestrial laser scanning (TLS), remote sensing (RS), crowdsourcing platforms, social media (SM) and closed-circuit television videos (CCTV). The selection of a particular data source or collection technique for earthquake reconnaissance includes different criteria depending on what questions are to be answered by these data. We conclude that modern reconnaissance missions cannot rely on a single data source. Different data sources should complement each other, validate collected data or systematically quantify the damage. The recent increase in the number of crowdsourcing and SM platforms used to source earthquake reconnaissance data demonstrates that this is likely to become an increasingly important data source.

scholarly journals Earthquakes Reconnaissance Data Sources, a Literature Review

2021 ◽  
Author(s):  
Diana Maria Contreras Mojica ◽  
Sean Wilkinson ◽  
Philip James
Keyword(s):  
Laser Scanning ◽  
Building Damage ◽  
Current Data ◽  
Data Sources ◽  
Damage Data ◽  
Efficient Data ◽  
Data Source ◽  
Single Data ◽  
Post Disaster ◽  
Selection Of

Earthquakes are one of the most catastrophic natural phenomena. After an earthquake, earthquake reconnaissance enables effective recovery by collecting building damage data and other impacts. This paper aims to identify state-of-the-art data sources for building damage assessment and guide more efficient data. This paper reviews 38 articles that indicate the sources used by different authors to collect data related to damages and post-disaster recovery progress after earthquakes between 2014 and 2021. The current data collection methods have been grouped into seven categories: fieldwork or ground surveys, omnidirectional imagery (OD), terrestrial laser scanning (TLS), remote sensing (RS), crowdsourcing platforms, social media (SM) and closed-circuit television videos (CCTV). The selection of a particular data source or collection technique for earthquake reconnaissance includes different criteria. Nowadays, reconnaissance mission can not rely on a single data source, and different data sources should complement each other, validate collected data, or quantify the damage comprehensively. The recent increase in the number of crowdsourcing and SM platforms as a source of data for earthquake reconnaissance is a clear indication of the tendency of data sources in the future.

scholarly journals Earthquakes Reconnaissance Data Sources, a Literature Review

2021 ◽  
Author(s):  
Diana Maria Contreras Mojica ◽  
Sean Wilkinson ◽  
Philip James
Keyword(s):  
Data Collection ◽  
Laser Scanning ◽  
Building Damage ◽  
Current Data ◽  
Data Sources ◽  
Damage Data ◽  
Efficient Data ◽  
Data Source ◽  
Single Data ◽  
Selection Of

Earthquakes are one of the most catastrophic natural phenomena. After an earthquake, earthquake reconnaissance enables effective recovery by collecting building damage data and other impacts. This paper aims to identify state-of-the-art data sources for building damage assessment and provide guidance for more efficient data collection. We have reviewed 38 articles that indicate the sources used by different authors to collect data related to damage and post-disaster recovery progress after earthquakes between 2014 and 2021. The current data collection methods have been grouped into seven categories: fieldwork or ground surveys, omnidirectional imagery (OD), terrestrial laser scanning (TLS), remote sensing (RS), crowdsourcing platforms, social media (SM) and closed-circuit television videos (CCTV). The selection of a particular data source or collection technique for earthquake reconnaissance includes different criteria depending on what questions are to be answered by this data. We conclude that modern reconnaissance missions can not rely on a single data source and that different data sources should complement each other, validate collected data, or systematically quantify the damage. The recent increase in the number of crowdsourcing and SM platforms used to source earthquake reconnaissance data demonstrates that this is likely to become an increasingly important source of data.

Event detection of different English data sources based on transfer learning

2021 ◽  
pp. 1-11
Author(s):  
Yanan Huang ◽  
Yuji Miao ◽  
Zhenjing Da
Keyword(s):  
Transfer Learning ◽  
Event Detection ◽  
Visual Analysis ◽  
Learning Algorithm ◽  
Data Sources ◽  
Data Set ◽  
Data Source ◽  
Single Data Source ◽  
The Difference ◽  
Single Data

The methods of multi-modal English event detection under a single data source and isomorphic event detection of different English data sources based on transfer learning still need to be improved. In order to improve the efficiency of English and data source time detection, based on the transfer learning algorithm, this paper proposes multi-modal event detection under a single data source and isomorphic event detection based on transfer learning for different data sources. Moreover, by stacking multiple classification models, this paper makes each feature merge with each other, and conducts confrontation training through the difference between the two classifiers to further make the distribution of different source data similar. In addition, in order to verify the algorithm proposed in this paper, a multi-source English event detection data set is collected through a data collection method. Finally, this paper uses the data set to verify the method proposed in this paper and compare it with the current most mainstream transfer learning methods. Through experimental analysis, convergence analysis, visual analysis and parameter evaluation, the effectiveness of the algorithm proposed in this paper is demonstrated.

scholarly journals Metafora Konseptual Cinta dalam Lirik Lagu Taylor Swift di Album 1989

SUAR BETANG ◽  
2021 ◽  
Vol 16 (1) ◽  
Author(s):  
NFN Irwansyah
Keyword(s):  
Qualitative Method ◽  
Data Sources ◽  
Conceptual Metaphors ◽  
National Anthem ◽  
Personal Experiences ◽  
Data Source ◽  
Song Lyrics ◽  
Selection Of ◽  
Descriptive Qualitative

This study describes the conceptual metaphors of love in the lyrics of Taylor Swift's 1989 album. The purpose of this study is to describe the use of metaphors and conceptualize love-themed data. This research uses descriptive qualitative method with proficient free listening technique by taking song lyrics from Taylor Swift. The data source is song lyrics in Taylor Swift's 1989 album. The selection of the data sources is motivated by the fact that Taylor Swift is a singer who produces songs based on personal experiences. This makes the puns for the song more beautiful and poetic. The results show that the conceptualization of love metaphors found on Taylor Swift's 1989 album namely (1) love is a game, (2) love is fire, (3) heartbreak is the national anthem, (4) love is the object of trouble, (5) love is the throne, (6) love as glassware, (7) love as an object of color, (8) love is journey, (9) love is a sin, (10) love as a ship object, (11) love is life, (12) love is a trap, (13) love as an object falls, (14) love as an intoxicating object, (15) love is power and (16)  love as an object is hunted.AbstrakPenelitian ini mendeskripsikan metafora konseptual cinta dalam lirik lagu Taylor Swift di album 1989. Tujuan dari penelitian ini adalah untuk mendeskripsikan penggunaan metafora dan mengonseptualisasikan data yang bertema cinta. Penelitian ini menggunakan metode kualitatif deskriptif dengan teknik simak bebas libat cakap dengan mengambil lirik lagu dari Taylor Swift. Sumber data yang digunakan ialah lirik-lirik lagu pada album 1989 milik Taylor Swift. Pemilihan sumber data dilatarbelakangi bahwa Taylor Swift seorang penyanyi yang menghasilkan lagu berdasarkan pengalaman pribadi bersama pasangannya. Hal ini memunculkan permainan kata-kata yang terkesan lebih indah dan puitis. Hasil identifikasi menunjukkan konseptualisasi metafora cinta yang ditemukan pada album 1989 milik Taylor Swift antara lain (1) cinta adalah permainan, (2) cinta adalah api, (3) patah hati adalah lagu kebangsaan, (4) cinta sebagai objek masalah, (5) cinta adalah takhta, (6) cinta sebagai barang pecah belah, (7) cinta sebagai objek warna, (8) cinta adalah perjalanan, (9) cinta sebagai perbuatan dosa, (10) cinta sebagai objek kapal, (11) cinta adalah kehidupan, (12) cinta adalah perangkap, (13) cinta sebagai objek yang jatuh, (14) cinta sebagai objek yang memabukkan, (15) cinta adalah kekuatan, dan (16) cinta sebagai objek yang diburu.

scholarly journals KOHESI GRAMATIKAL REFERENSI PRONOMINA PERSONA DALAM TEKS PARIWISATA PADA PESONAINDONESIA.KOMPAS.COM/GRAMATICAL COHESION OF PERSONAL PRONOUNS IN THE TOURISM TEXT ON PESONAINDONESIA.KOMPAS.COM

Aksara ◽  
2022 ◽  
Vol 33 (2) ◽  
pp. 257-268
Author(s):  
Bakdal Ginanjar ◽  
Dwi Purnanto ◽  
Hesti Widyastuti ◽  
Chattri S. Widyastuti
Keyword(s):  
Discourse Analysis ◽  
Data Collection ◽  
Digital Media ◽  
Communication Strategies ◽  
Analysis Approach ◽  
Personal Pronouns ◽  
Data Source ◽  
Text Cohesion ◽  
Selection Of

AbstrakPenelitian ini diarahkan pada kajian teks wacana pariwisata dengan pendekatan analisis wacana. Permasalahan yang dikaji adalah aspek kebahasaan pembangun kepaduan teks wacana berupa kohesi gramatikal referensi persona pada teks pariwisata di laman pesonaindonesia.kompas.com. Tujuannya adalah untuk mendeskripsikan aspek kebahasaan kohesi gramatikal referensi persona pada teks pariwisata dalam media digital yang hasilnya dapat dipakai sebagai salah satu dasar merespons tuntutan kualitas strategi komunikasi promosi yang kreatif.  Penelitian ini berjenis kualitatif deskriptif dalam linguistik. Sumber data berasal dari situs/laman pesonaindonesia.kompas.combulan Januari—Oktober 2019. Data berwujud teks wacana pariwisata. Metode pengumpulan data dilakukan dengan metode simak. Data dianalisis dengan metode agih dengan teknik ganti. Kajian ini menemukan pendayagunaan referensi pronominal persona yang difungsikan untuk membangun teks wacana yang khas dari teks pariwisata secara koheren. Hasil penelitian menunjukkan bahwa teks pariwisata menggunakan aspek-aspek gramatikal kohesi referensi persona pertama, kedua, ataupun ketiga. Referensi persona kedua mendominasi dalam teks pariwisata di laman pesonaindonesia.kompas.com. guna menciptakan keutuhan dan kepaduan wacana. Lebih lanjut, pemilihan referensi persona tersebut ditujukan untuk mendekatkan diri dengan pembaca dan terkandung implikasi persuasif bagi pembaca. Kata kunci: kohesi, referensi persona, teks pariwisata, wacana AbstractThis research is directed at the study of tourism discourse texts with the discourse analysis approach. The problem studied is the linguistic aspects of the building of the discourse text cohesion in the form of grammatical cohesion of persona references in the pariwisa text on the pesonaindonesia.kompas.com page. The aim is to describe the linguistic aspects of grammatical cohesion of references to charms in the tourism text in digital media, the results of which can be used as a basis for responding to the demands of the quality of creative promotional communication strategies. This research is a descriptive qualitative type in linguistics. The data source is from pesonaindonesia.kompas.com website / page from January to October 2019. The data is in the form of a tourism discourse text. The method of data collection is done by referring to the method. Data were analyzed by the method of distribution. The results showed that the tourism text uses grammatical aspects of the first, second, and third persona reference cohesion. The second persona reference dominates in the tourism text on the pesonaindonesia.kompas.com page. in order to create wholeness and cohesiveness of discourse. Furthermore, the selection of the reference persona is intended to get closer to the reader and has persuasive implications for the reader.Keywords: discourse, cohesion, personal pronouns, tourism text

scholarly journals Analisis Yuridis Terhadap Kedudukan Anak Hasil Perkawinan Siri

2021 ◽  
Vol 9 (2) ◽  
pp. 55
Author(s):  
Bella Yulfarida
Keyword(s):  
Data Collection ◽  
Legal Status ◽  
Secondary Data ◽  
Data Sources ◽  
Primary Data ◽  
Constitutional Court ◽  
Civil Registration ◽  
Legal Position ◽  
Data Source ◽  
Secondary Data Sources

<p>The purpose of this study is to determine the juridical analysis of the position of the child, the legal status of the child and to find out the government's efforts to overcome the position of the child from an unregistered marriage. This type of research is an empirical descriptive qualitative. The data source uses primary data sources and secondary data sources. Data collection techniques are interviews, observation and documentation. The results of the study indicate that children resulting from unregistered marriages are registered and then registered in the civil registration in order to obtain a legal legal position. The legal status of unmarried children is that after the Decision of the Constitutional Court Number 46/PUU-VIII/2010, if it can be proven based on science and technology and/or other evidence, it turns out that they are related by blood as their father, then they are entitled to inherit from their father. The government's effort in overcoming the position of children from unregistered marriages is to socialize so that siri couples become legal marriages, namely by registering with marriage istbat and re-marrying.</p><p>Keywords: legal status, legal status, children, unregistered marriage</p>

scholarly journals Comparison of bibliographic data sources: Implications for the robustness of university rankings

2020 ◽  
pp. 1-34 ◽  
Author(s):  
Chun-Kai (Karl) Huang ◽  
Cameron Neylon ◽  
Chloe Brookes-Kenworthy ◽  
Richard Hosking ◽  
Lucy Montgomery ◽  
...  
Keyword(s):  
Citation Count ◽  
Data Sources ◽  
University Rankings ◽  
Multiple Sources ◽  
Data Set ◽  
Bibliographic Data ◽  
Data Source ◽  
English Speaking ◽  
International University ◽  
Single Data

Universities are increasingly evaluated on the basis of their outputs. These are often converted to simple and contested rankings with substantial implications for recruitment, income, and perceived prestige. Such evaluation usually relies on a single data source to define the set of outputs for a university. However, few studies have explored differences across data sources and their implications for metrics and rankings at the institutional scale. We address this gap by performing detailed bibliographic comparisons between Web of Science (WoS), Scopus, and Microsoft Academic (MSA) at the institutional level and supplement this with a manual analysis of 15 universities. We further construct two simple rankings based on citation count and open access status. Our results show that there are significant differences across databases. These differences contribute to drastic changes in rank positions of universities, which are most prevalent for non-English-speaking universities and those outside the top positions in international university rankings. Overall, MSA has greater coverage than Scopus and WoS, but with less complete affiliation metadata. We suggest that robust evaluation measures need to consider the effect of choice of data sources and recommend an approach where data from multiple sources is integrated to provide a more robust data set.

Exploring sensor data for agricultural statistics: The fruit is not hanging as low as we thought

2021 ◽  
pp. 1-14
Author(s):  
Ger Snijkers ◽  
Tim Punt ◽  
Sofie De Broe ◽  
José Gómez Pérez
Keyword(s):  
Business Processes ◽  
Current Data ◽  
Data Driven ◽  
Sensor Data ◽  
Small Scale ◽  
Use Case ◽  
New Methods ◽  
New Business ◽  
Data Source ◽  
Selection Of

New business processes are increasingly data driven as sensors have become ubiquitous. Sensor data could be a valuable new data source for official statistics. To study this presumption Statistics Netherlands conducted a small-scale use case in the area of agricultural statistics in collaboration with an innovative farmer. A selection of his sensor data was explored for overlap with current data demands in surveys. The aim of the study was to obtain insights in the available agricultural data, their data structure and quality, and explore new methods of data collection for agricultural statistics. The conclusion is that these data are valuable for replacing or pre-filling (parts of) certain agricultural surveys. However, many more challenges surfaced than we expected, to which the title of this paper refers. These challenges will be discussed in this paper.

scholarly journals COOKING CLASS SEBAGAI PAKET WISATA DI RESTORAN LAKA LEKE UBUD BALI

Jurnal IPTA ◽  
2015 ◽  
Vol 3 (1) ◽  
pp. 29
Author(s):  
M. Rizky Nugraha S. ◽  
I Made Sendra ◽  
Ni Putu Eka Mahadewi
Keyword(s):  
Data Collection ◽  
Quantitative Data ◽  
Qualitative Data ◽  
Secondary Data ◽  
Local Communities ◽  
Primary Data ◽  
Library Research ◽  
Data Source ◽  
Research Type ◽  
Selection Of

Selection of research on "Cooking Class as Tour Packages at the Restaurant Laka Leke in Ubud Bali" is motivated the potential that cant be find anything in Ubud area which can be put into a package "cooking class", and how to plan a tour package "cooking class" in support of the potential that exists in Ubud. Data collection in this study was done by observation, interviews, and library research. Type of data used is the qualitative data supported by quantitative data, while the data source are the primary data and secondary data. Results of this study showed that of the observations made on potentiality of tourism in Ubud village is still a lot of potentials that has not been developed and the maximum attention, especially from the local government. Development of tourism in Ubud village just focus on a few places in the Ubud area. For the Bureau of Tourist’s Travel or restaurant should pay more attention to making travel packages which involving local communities and make a package that is unique and different so will not appear tour packages that already exist.

Application of Dempster–Shafer Data Fusion Technique in Support of Decision Making with Big Data

2017 ◽  
Vol 2645 (1) ◽  
pp. 32-37 ◽  
Author(s):  
Ping Yi ◽  
Songling Zhang
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Data Fusion ◽  
Incomplete Information ◽  
Data Sources ◽  
Fusion Technique ◽  
Crowd Management ◽  
Multiple Data ◽  
Data Source ◽  
Single Data

This paper introduces applications of the Dempster–Shafer (D-S) data fusion technique in transportation system decision making. D-S inference is a statistics-based data classification technique, and it can be used when data sources contribute discontinuous and incomplete information and no single data source can produce an overwhelmingly high probability of certainty for identifying the most probable event. The technique captures and combines the information contributed by the data sources by using Dempster’s rule to find the conjunction of the events and to determine the highest associated probability. The D-S theory is explained and its implementation described through numerical examples of a ride-hauling service and of crowd management at a subway station. Results from the applications have shown that the technique is very effective in dealing with incomplete information and multiple data sources in the era of big data.

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