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Bae, Jae hun. "The Effect of Pre-appreciation Teacher Context on the Appreciation of Learned Readers: Using LDA and LDAvis". Korean Association For Learner-Centered Curriculum And Instruction 20, n.º 3 (1 de março de 2020): 165–93. http://dx.doi.org/10.22251/jlcci.2020.20.3.165.
Miyata, Yosuke, Emi Ishita, Fang Yang, Michimasa Yamamoto, Azusa Iwase e Keiko Kurata. "Knowledge structure transition in library and information science: topic modeling and visualization". Scientometrics 125, n.º 1 (12 de agosto de 2020): 665–87. http://dx.doi.org/10.1007/s11192-020-03657-5.
Abstract The purpose of this research is to identify topics in library and information science (LIS) using latent Dirichlet allocation (LDA) and to visualize the knowledge structure of the field as consisting of specific topics and its transition from 2000–2002 to 2015–2017. The full text of 1648 research articles from five peer-reviewed representative LIS journals in these two periods was analyzed by using LDA. A total of 30 topics in each period were labeled based on the frequency of terms and the contents of the articles. These topics were plotted on a two-dimensional map using LDAvis and categorized based on their location and characteristics in the plots. Although research areas in some forms were persistent with which discovered in previous studies, they were crucial to the transition of the knowledge structure in LIS and had the following three features: (1) The Internet became the premise of research in LIS in 2015–2017. (2) Theoretical approach or empirical work can be considered as a factor in the transition of the knowledge structure in some categories. (3) The topic diversity of the five core LIS journals decreased from the 2000–2002 to 2015–2017.
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Kim, Kun, Ounjoung Park, Jacob Barr e Haejung Yun. "Tourists’ shifting perceptions of UNESCO heritage sites: lessons from Jeju Island-South Korea". Tourism Review 74, n.º 1 (4 de fevereiro de 2019): 20–29. http://dx.doi.org/10.1108/tr-09-2017-0140.
Purpose The purpose of this research is to analyze the shifting perceptions of international tourists to Jeju Island and provide practical lessons to the tourism industry. Specifically, in regard to three United Nations Educational, Scientific and Cultural Organization (UNESCO) natural World Heritage sites in Jeju, this research measures the most salient topics mentioned by tourists to inform a more accurate perception of the island’s most valuable natural assets as reported by tourism experiences. Design/methodology/approach This study used a Web crawler to gather over 1,500 English language reviews from international tourists from a famous travel information website. The collected data were then preprocessed for stemming and lemmatization. After this, the processed text data were analyzed through a latent Dirichlet allocation (LDA)-based topic modeling approach to identify the most prominent clusters of ideas mentioned and represent them visually through graphs, tables and charts. Findings The findings from this research suggest that there are ten identifiable topics. Topics focusing on “adventure,” “summits” and “winter” showed noticeable increases, whereas topics focusing on “sunrise peak” and “UNESCO” have decreased over time. There is a trend for international tourists to be ever more conscious of the adventurous and rugged aspects of Jeju, and the novelty of mentioning UNESCO status seems to have worn off. Furthermore, there is the proclivity for tourists to mention “worth” and “enjoy” more as time goes on. Originality/value This study applies LDA-based topic modeling and LDAvis using user-generated online reviews with time-series analyses. Consequently, it provides unique insights into the changing perceptions of ecotourism on Jeju today, as well as contribution to smart tourism fields.
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Han, Eunjin, Wade T. Crow, Thomas Holmes e John Bolten. "Benchmarking a Soil Moisture Data Assimilation System for Agricultural Drought Monitoring". Journal of Hydrometeorology 15, n.º 3 (1 de junho de 2014): 1117–34. http://dx.doi.org/10.1175/jhm-d-13-0125.1.
Abstract Despite considerable interest in the application of land surface data assimilation systems (LDASs) for agricultural drought applications, relatively little is known about the large-scale performance of such systems and, thus, the optimal methodological approach for implementing them. To address this need, this paper evaluates an LDAS for agricultural drought monitoring by benchmarking individual components of the system (i.e., a satellite soil moisture retrieval algorithm, a soil water balance model, and a sequential data assimilation filter) against a series of linear models that perform the same function (i.e., have the same basic input/output structure) as the full system component. Benchmarking is based on the calculation of the lagged rank cross correlation between the normalized difference vegetation index (NDVI) and soil moisture estimates acquired for various components of the system. Lagged soil moisture/NDVI correlations obtained using individual LDAS components versus their linear analogs reveal the degree to which nonlinearities and/or complexities contained within each component actually contribute to the performance of the LDAS system as a whole. Here, a particular system based on surface soil moisture retrievals from the Land Parameter Retrieval Model (LPRM), a two-layer Palmer soil water balance model, and an ensemble Kalman filter (EnKF) is benchmarked. Results suggest significant room for improvement in each component of the system.
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Kim, Dong-Ju, Geon Kang, Do-Yong Kim e Jae-Jin Kim. "Characteristics of LDAPS-Predicted Surface Wind Speed and Temperature at Automated Weather Stations with Different Surrounding Land Cover and Topography in Korea". Atmosphere 11, n.º 11 (13 de novembro de 2020): 1224. http://dx.doi.org/10.3390/atmos11111224.
We investigated the characteristics of surface wind speeds and temperatures predicted by the local data assimilation and prediction system (LDAPS) operated by the Korean Meteorological Administration. First, we classified automated weather stations (AWSs) into four categories (urban flat (Uf), rural flat (Rf), rural mountainous (Rm), and rural coastal (Rc) terrains) based on the surrounding land cover and topography, and selected 25 AWSs representing each category. Then we calculated the mean bias error of wind speed (WE) and temperature (TE) using AWS observations and LDAPS predictions for the 25 AWSs in each category for a period of 1 year (January–December 2015). We found that LDAPS overestimated wind speed (average WE = 1.26 m s−1) and underestimated temperature (average TE = −0.63 °C) at Uf AWSs located on flat terrain in urban areas because it failed to reflect the drag and local heating caused by buildings. At Rf, located on flat terrain in rural areas, LDAPS showed the best performance in predicting surface wind speed and temperature (average WE = 0.42 m s−1, average TE = 0.12 °C). In mountainous rural terrain (Rm), WE and TE were strongly correlated with differences between LDAPS and actual altitude. LDAPS underestimated (overestimated) wind speed (temperature) for LDAPS altitudes that were lower than actual altitude, and vice versa. In rural coastal terrain (Rc), LDAPS temperature predictions depended on whether the grid was on land or sea, whereas wind speed did not depend on grid location. LDAPS underestimated temperature at grid points on the sea, with smaller TE obtained for grid points on sea than on land.
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Yu, Myungsu, Youngmok Lee e Jaeeung Yi. "Flood inflow forecasting on HantanRiver reservoir by using forecasted rainfall". Journal of Korea Water Resources Association 49, n.º 4 (30 de abril de 2016): 327–33. http://dx.doi.org/10.3741/jkwra.2016.49.4.327.
Song, Hwan-Jin, Byunghwan Lim e Sangwon Joo. "Evaluation of Rainfall Forecasts with Heavy Rain Types in the High-Resolution Unified Model over South Korea". Weather and Forecasting 34, n.º 5 (9 de setembro de 2019): 1277–93. http://dx.doi.org/10.1175/waf-d-18-0140.1.
Abstract Heavy rainfall events account for most socioeconomic damages caused by natural disasters in South Korea. However, the microphysical understanding of heavy rain is still lacking, leading to uncertainties in quantitative rainfall prediction. This study is aimed at evaluating rainfall forecasts in the Local Data Assimilation and Prediction System (LDAPS), a high-resolution configuration of the Unified Model over the Korean Peninsula. The rainfall of LDAPS forecasts was evaluated with observations based on two types of heavy rain events classified from K-means clustering for the relationship between surface rainfall intensity and cloud-top height. LDAPS forecasts were characterized by more heavy rain cases with high cloud-top heights (cold-type heavy rain) in contrast to observations showing frequent moderate-intensity rain systems with relatively lower cloud-top heights (warm-type heavy rain) over South Korea. The observed cold-type and warm-type events accounted for 32.7% and 67.3% of total rainfall, whereas LDAPS forecasts accounted for 65.3% and 34.7%, respectively. This indicates severe overestimation and underestimation of total rainfall for the cold-type and warm-type forecast events, respectively. The overestimation of cold-type heavy rainfall was mainly due to its frequent occurrence, whereas the underestimation of warm-type heavy rainfall was affected by both its low occurrence and weak intensity. The rainfall forecast skill for the warm-type events was much lower than for the cold-type events, due to the lower rainfall intensity and smaller rain area of the warm-type. Therefore, cloud parameterizations for warm-type heavy rain should be improved to enhance rainfall forecasts over the Korean Peninsula.
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Maggioni, Viviana, Rolf H. Reichle e Emmanouil N. Anagnostou. "The Efficiency of Assimilating Satellite Soil Moisture Retrievals in a Land Data Assimilation System Using Different Rainfall Error Models". Journal of Hydrometeorology 14, n.º 1 (1 de fevereiro de 2013): 368–74. http://dx.doi.org/10.1175/jhm-d-12-0105.1.
Abstract The efficiency of assimilating near-surface soil moisture retrievals from Advanced Microwave Scanning Radiometer for Earth Observing System (AMSR-E) observations in a Land Data Assimilation System (LDAS) is assessed using satellite rainfall forcing and two different satellite rainfall error models: a complex, multidimensional satellite rainfall error model (SREM2D) and the simpler (control) model (CTRL) used in the NASA Goddard Earth Observing System Model, version 5 LDAS. For the study domain of Oklahoma, LDAS soil moisture estimates improve over the satellite retrievals and the open-loop (no assimilation) land surface model estimates, exhibiting higher daily anomaly correlation coefficients (e.g., 0.36 in the open loop, 0.38 in the AMSR-E, and 0.50 in LDAS for surface soil moisture). The LDAS soil moisture estimates also match the performance of a benchmark model simulation forced with high-quality radar precipitation. Compared to using the CTRL rainfall error model in LDAS, using the more complex SREM2D exhibits only slight improvements in soil moisture estimates.
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Minchenko, Andrey, e Alexey Ovchinnikov. "Extensions of differential representations of SL2 and tori". Journal of the Institute of Mathematics of Jussieu 12, n.º 1 (16 de maio de 2012): 199–224. http://dx.doi.org/10.1017/s1474748012000692.
AbstractLinear differential algebraic groups (LDAGs) measure differential algebraic dependencies among solutions of linear differential and difference equations with parameters, for which LDAGs are Galois groups. Differential representation theory is a key to developing algorithms computing these groups. In the rational representation theory of algebraic groups, one starts with ${\mathbf{SL} }_{2} $ and tori to develop the rest of the theory. In this paper, we give an explicit description of differential representations of tori and differential extensions of irreducible representation of ${\mathbf{SL} }_{2} $. In these extensions, the two irreducible representations can be non-isomorphic. This is in contrast to differential representations of tori, which turn out to be direct sums of isotypic representations.
Mercado, Salazar Jorge Anibal, e S. M. Masud Rana. "A Confirmatory Analysis for Automating the Evaluation of Motivation Letters to Emulate Human Judgment". Thesis, Högskolan Dalarna, Institutionen för information och teknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:du-37469.
Manually reading, evaluating, and scoring motivation letters as part of the admissions process is a time-consuming and tedious task for Dalarna University's program managers. An automated scoring system would provide them with relief as well as the ability to make much faster decisions when selecting applicants for admission. The aim of this thesis was to analyse current human judgment and attempt to emulate it using machine learning techniques. We used various topic modelling methods, such as Latent Dirichlet Allocation and Non-Negative Matrix Factorization, to find the most interpretable topics, build a bridge between topics and human-defined factors, and finally evaluate model performance by predicting scoring values and finding accuracy using logistic regression, discriminant analysis, and other classification algorithms. Despite the fact that we were able to discover the meaning of almost all human factors on our own, the topic models' accuracy in predicting overall score was unexpectedly low. Setting a threshold on overall score to select applicants for admission yielded a good overall accuracy result, but did not yield a good consistent precision or recall score. During our investigation, we attempted to determine the possible causes of these unexpected results and discovered that not only is topic modelling limitation to blame, but human bias also plays a role.
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Gidda, Satinder K., Samantha C. Watt, Jillian Collins-Silva, Aruna Kilaru, Vincent Arondel, Olga Yurchenko, Patrick J. Horn et al. "Lipid Droplet-Associated Proteins (ldaps) Are Involved in the Compartmentalization of Lipophilic Compounds in Plant Cells". Digital Commons @ East Tennessee State University, 2013. https://doi.org/10.4161/psb.27141.
While lipid droplets have traditionally been considered as inert sites for the storage of triacylglycerols and sterol esters, they are now recognized as dynamic and functionally diverse organelles involved in energy homeostasis, lipid signaling, and stress responses. Unlike most other organelles, lipid droplets are delineated by a half-unit membrane whose protein constituents are poorly understood, except in the specialized case of oleosins, which are associated with seed lipid droplets. Recently, we identified a new class of lipid-droplet associated proteins called LDAPs that localize specifically to the lipid droplet surface within plant cells and share extensive sequence similarity with the small rubber particle proteins (SRPPs) found in rubber-accumulating plants. Here, we provide additional evidence for a role of LDAPs in lipid accumulation in oil-rich fruit tissues, and further explore the functional relationships between LDAPs and SRPPs. In addition, we propose that the larger LDAP/SRPP protein family plays important roles in the compartmentalization of lipophilic compounds, including triacylglycerols and polyisoprenoids, into lipid droplets within plant cells. Potential roles in lipid droplet biogenesis and function of these proteins also are discussed.
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Filip-Dhaubhadel, Alexandra [Verfasser]. "L-Band Digital Aeronautical Communication System (LDACS)-Based Non-Cooperative Passive Multistatic Radar for Civil Aviation Surveillance / Alexandra Filip-Dhaubhadel". München : Verlag Dr. Hut, 2021. http://d-nb.info/1238423035/34.
Matsenyane, Leloko Edwin. "Factors influencing the sustainability of local drug action committees in the Free State Province : case study of Mangaung Municipality". Thesis, 2014. http://hdl.handle.net/10539/15414.
The Local Drug Action Committee (LDAC) is the closest body to the community which is
made up of individuals from different stakeholders at a local level to coordinate the activities
aimed at the prevention of substance abuse and illicit drug trafficking within the
communities. Since the implementation of the committees, the sustainability of these
committees has been a challenge in the Free State Province. The study endeavoured to
explore factors which influence the sustainability of these committees in the Free State
Province. A qualitative research approach that was explorative and descriptive in nature was
employed. A case study design was used. Purposive sampling was applied to select the
participants from two LDACs in Mangaung Municipality. A semi-structured interview
schedule was used to collect the data during individual in-depth interviews with five
participants. Thematic content analysis was used to analyse the data. The main findings
indicated that there was a lack of knowledge among the committee members about their
roles, responsibilities and mandates. Their inability to coordinate the stakeholder activities as
well as the limited knowledge about the relationship between the Free State Mini Drug
Master Plan (FSMDMP) and the LDACs also appeared to be challenging. The main
conclusions drawn from the study are that despite the excellent structure of the LDACs to
coordinate the implementation of the FSMDMP, the members of the LDACs are neither
knowledgeable about nor capacitated to fulfil their roles and responsibilities to meet the
intended requirements and implement the activities of the FSMDMP, factors which hamper
sustainability. The lack of financial support from Government to fund the activities of the
LDACs in the Province is another major impediment in terms of sustainability.
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"A case study of the Learning Disabilities Association of Saskatchewan (LDAS) Arrowsmith program". Thesis, 2013. http://hdl.handle.net/10388/ETD-2013-11-1268.
Case Study research was conducted to investigate how participation in the Learning Disabilities Association of Saskatchewan (LDAS) Arrowsmith program affected the cognitive, academic, emotional, and interpersonal functioning of five students who attended this program for two to three years. Learning disabilities involve consistent cognitive processing and academic difficulties that are present in individuals who have average or higher functioning in other cognitive processing areas. The average adult with a learning disability has less education, lower employment success, and higher rates of emotional and interpersonal difficulties. The Arrowsmith program is a cognitive training program based on neuroplasticity that claims to reduce or remove cognitive functioning deficits in persons with learning disabilities. Semi-structured interviews were conducted with five students and one or both of their parents. Standardized test results and information from the school cumulative folders of the students were also reviewed. Four of the five students experienced large and significant increases in cognitive, academic, emotional, and/or interpersonal functioning following their participation in the LDAS Arrowsmith program. One of the five students had much smaller gains in cognitive and academic functioning and experienced difficulties with emotional and interpersonal functioning following participation in the program. Several themes related to participation in the LDAS Arrowsmith program are identified for the student, parent, school record perspectives and themes common to these perspectives are also identified. Possible reasons why the students had different outcomes following their participation in the LDAS Arrowsmith program are discussed. Recommendations for parents, school psychologists, teachers, schools/school divisions, the Arrowsmith program, and future research are given.
Walterscheid, Heike, Veton Matoshi, Katarzyna Wiśniewiecka-Brückner, Klaus Rothenhäusler e Frank Eckardt. "LDAvis, BERT: Comparison of Method Application Under Corona Conditions". In Lecture Notes in Networks and Systems, 23–30. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80624-8_3.
Wulf, Volker. "The Effects of the Lomé Conventions on LDACs". In The Least Developed and the Oil-Rich Arab Countries, 64–81. London: Palgrave Macmillan UK, 1992. http://dx.doi.org/10.1007/978-1-349-12558-6_5.
Zaisberger, Michael, e Holger Arthaber. "Random Access Performance Evaluation and Improvements of the LDACS". In Lecture Notes in Electrical Engineering, 26–34. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5692-7_4.
Wang, Kuanquan, Wangmeng Zuo e David Zhang. "Post-processing on LDA’s Discriminant Vectors for Facial Feature Extraction". In Lecture Notes in Computer Science, 346–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11527923_36.
Koppers, Simon. "Some Aspects of the Gulf Co-operation Council’s Relationship with LDACs". In The Least Developed and the Oil-Rich Arab Countries, 31–48. London: Palgrave Macmillan UK, 1992. http://dx.doi.org/10.1007/978-1-349-12558-6_3.
Ibrahim, Badr Al-Din. "Some Aspects of Islamic Banking in LDACs: Reflections on the Faisal Islamic Bank, Sudan". In The Least Developed and the Oil-Rich Arab Countries, 216–28. London: Palgrave Macmillan UK, 1992. http://dx.doi.org/10.1007/978-1-349-12558-6_14.
Chernetskiy, M., N. Gobron, J. Gómez-Dans, P. Lewis e C. C. Schmullius. "Earth Observation Land Data Assimilation System (EO-LDAS) Regularization Constraints over Barrax Site". In Earth Observation for Land and Emergency Monitoring, 117–39. Chichester, UK: John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781118793787.ch7.
Raffer, Kunibert. "The Effects of Changes of Oil Prices on Peripheral Net Importers: A Crude Estimate with Special Reference to LDACs". In The Least Developed and the Oil-Rich Arab Countries, 13–30. London: Palgrave Macmillan UK, 1992. http://dx.doi.org/10.1007/978-1-349-12558-6_2.
Reichle, Rolf H., Gabriëlle J. M. De Lannoy, Barton A. Forman, Clara S. Draper e Qing Liu. "Connecting Satellite Observations with Water Cycle Variables Through Land Data Assimilation: Examples Using the NASA GEOS-5 LDAS". In The Earth's Hydrological Cycle, 577–606. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-017-8789-5_6.
Nezu, Iehisa, e Kouki Onitsuka. "Statistics of Open-Channel Turbulence by Using Simultaneous Measurements of all Three Components of Turbulent Fluctuations with Two-Sets of LDAs". In IUTAM Symposium on Geometry and Statistics of Turbulence, 339–44. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-015-9638-1_44.
Trabalhos de conferências sobre o assunto "LDAVis":
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Sievert, Carson, e Kenneth Shirley. "LDAvis: A method for visualizing and interpreting topics". In Proceedings of the Workshop on Interactive Language Learning, Visualization, and Interfaces. Stroudsburg, PA, USA: Association for Computational Linguistics, 2014. http://dx.doi.org/10.3115/v1/w14-3110.
Felux, Michael, Thomas Graupl, Nils Maurer e Mirko Stanisak. "Transmitting GBAS messages via LDACS". In 2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC). IEEE, 2018. http://dx.doi.org/10.1109/dasc.2018.8569836.
Maurer, Nils, Thomas Graupl e Corinna Schmitt. "Evaluation of the LDACS Cybersecurity Implementation". In 2019 IEEE/AIAA 38th Digital Avionics Systems Conference (DASC). IEEE, 2019. http://dx.doi.org/10.1109/dasc43569.2019.9081786.
Bellido-Manganell, Miguel A. "Impact assessment of LDACS on JTIDS". In 2017 Integrated Communications, Navigation and Surveillance Conference (ICNS). IEEE, 2017. http://dx.doi.org/10.1109/icnsurv.2017.8011963.
Graupl, Thomas, e Nils Maurer. "Performance-Optimizing Secure GBAS Over LDACS". In 2021 Integrated Communications Navigation and Surveillance Conference (ICNS). IEEE, 2021. http://dx.doi.org/10.1109/icns52807.2021.9441559.
"LDAV 2018 Preface". In 2018 IEEE 8th Symposium on Large Data Analysis and Visualization (LDAV). IEEE, 2018. http://dx.doi.org/10.1109/ldav.2018.8739200.
"LDAV 2018 Preface". In 2018 IEEE 8th Symposium on Large Data Analysis and Visualization (LDAV). IEEE, 2018. http://dx.doi.org/10.1109/ldav.2018.8739223.
"LDAV 2019 Preface". In 2019 IEEE 9th Symposium on Large Data Analysis and Visualization (LDAV). IEEE, 2019. http://dx.doi.org/10.1109/ldav48142.2019.8944349.
Relatórios de organizações sobre o assunto "LDAVis":
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Lammers, Gary, e Mel Lammers. Technical Graphics Transfer Using: AlliedSignal Technical Services' Data Supporting: LDAA's AFATS Program (Contract Number F41608-91-C-1276), MIL-D-28OO3 (CGM). Quick Short Test Report. Fort Belvoir, VA: Defense Technical Information Center, julho de 1994. http://dx.doi.org/10.21236/ada312409.
