scholarly journals The Potential of Utilizing Air Temperature Datasets from Non-Professional Meteorological Stations in Brno and Surrounding Area

Sensors ◽  
2019 ◽  
Vol 19 (19) ◽  
pp. 4172 ◽  
Author(s):  
Karel Dejmal ◽  
Petr Kolar ◽  
Josef Novotny ◽  
Alena Roubalova
Keyword(s):  
Air Temperature ◽  
Missing Values ◽  
Meteorological Parameter ◽  
Surrounding Area ◽  
Quality Of Data ◽  
Current State ◽  
Recorded Data ◽  
Urban Heat ◽  
The Impact

An increasing number of individuals and institutions own or operate meteorological stations, but the resulting data are not yet commonly used in the Czech Republic. One of the main difficulties is the heterogeneity of measuring systems that puts in question the quality of outcoming data. Only after a thorough quality control of recorded data is it possible to proceed with for example a specific survey of variability of a chosen meteorological parameter in an urban or suburban region. The most commonly researched element in the given environment is air temperature. In the first phase, this paper focuses on the quality of data provided by amateur and institutional stations. The following analyses consequently work with already amended time series. Due to the nature of analyzed data and their potential use in the future it is opportune to assess the appropriateness of chronological and possibly spatial interpolation of missing values. The evaluation of seasonal variability of air temperature in the scale of Brno city and surrounding area in 2015–2017 demonstrates, that the enrichment of network of standard (professional) stations with new stations may significantly refine or even revise the current state of knowledge, for example in the case of urban heat island phenomena. A cluster analysis was applied in order to assess the impact of localization circumstances (station environment, exposition, etc.) as well as typological classification of the set of meteorological stations.

The Development of Agritourism in the Podkarpackie Voivodeship in the Light of International and National Conditions

2017 ◽  
Vol 13 ◽  
pp. 244-261
Author(s):  
Mariola Tracz ◽  
Małgorzata Bajgier-Kowalska ◽  
Radosław Uliszak
Keyword(s):  
Development Strategy ◽  
Current State ◽  
Central Statistical ◽  
Central Statistical Office ◽  
Tourism Resources ◽  
The One ◽  
The Impact ◽  
District Offices ◽  
Socio Economic Factors

Podkarpackie Voivodeship is one of the regions of Poland in which the number of agritourism entities is very high. Therefore tourism plays a significant role in its development strategy. The aim of the paper is to identify the current state of agritourism and the changes that have occurred in the region in the years 2000–2016. Specific objectives are to determine the distribution of agritourism farms and their offer, together with a comprehensive analysis of the environmental and socio-economic factors, as well as the impact of the Slovak-Ukrainian border. The report was developed on the statistical materials from the Polish Central Statistical Office, Podkarpackie Agricultural Advisory Centre in Boguchwała and data collected from municipalities and district offices that is published on their websites, as well as through interviews with 100 owners of agritourism farms in the Podkarpackie Voivodeship. The research has shown, on the one hand, the decline in the number of farms in the region and, on the other hand, the increase in the diversity of the tourist offer of these entities. Distribution of agritourism farms is closely linked to the attractiveness of natural environment and quality of secondary tourism resources. Traditional agritourism has not yet fully used its countryside, as well as cross-border advantages of its location.

scholarly journals Smoothing additive manufactured parts using ns-pulsed laser radiation

2021 ◽  
Author(s):  
Florian Kuisat ◽  
Fernando Lasagni ◽  
Andrés Fabián Lasagni
Keyword(s):  
Surface Roughness ◽  
Mechanical Performance ◽  
State Of The Art ◽  
Pulsed Laser ◽  
Industrial Applications ◽  
Laser Source ◽  
Pulsed Laser Radiation ◽  
Current State ◽  
The Impact

AbstractIt is well known that the surface topography of a part can affect its mechanical performance, which is typical in additive manufacturing. In this context, we report about the surface modification of additive manufactured components made of Titanium 64 (Ti64) and Scalmalloy®, using a pulsed laser, with the aim of reducing their surface roughness. In our experiments, a nanosecond-pulsed infrared laser source with variable pulse durations between 8 and 200 ns was applied. The impact of varying a large number of parameters on the surface quality of the smoothed areas was investigated. The results demonstrated a reduction of surface roughness Sa by more than 80% for Titanium 64 and by 65% for Scalmalloy® samples. This allows to extend the applicability of additive manufactured components beyond the current state of the art and break new ground for the application in various industrial applications such as in aerospace.

scholarly journals PENGEMBANGAN SOSIS GASUHIRU BERBASIS PANGAN LOKAL IKAN GABUS “TOKOK” DAN TEPUNG KOMPOSIT TERHADAP SIFAT ORGANOLEPTIK, KADAR ZAT GIZI DAN DAYA TERIMA SOSIS GASUHIRU.

2019 ◽  
Vol 4 (1) ◽  
pp. 24
Author(s):  
Dwi Khotimah ◽  
Abdul Salam ◽  
AASP Chandradewi ◽  
Irianto Irianto
Keyword(s):  
Physical Growth ◽  
Composite Flour ◽  
Treatment Comparison ◽  
Tukey Test ◽  
Current State ◽  
Trust Level ◽  
The Difference ◽  
The Impact ◽  
One Way Anova

Background. Nutrition less in infants is a health problem around the world especially the countries develop. In Indonesia nutritional problems less in toddlers about 19.6%. Nutritional problems have little effect on the low quality of human resources, especially the impact of toddlers who are malnourished by poor brain development, unoptimal physical growth, and metabolic developments (the Kemenkes RI, 2014). The current state of nutrition especially in children is still ematitiate. Given the impact of the nutrient less widespread, it is necessary to do a handling of PMT in the form of sausages using local food that is effective in increasing the weight of children with less nutritional nutrition.Metodelogi. In this study used experimental research Desan with a complete random draft (RAL) One treatment comparison of cork fish with composite flour 75%: 25% 80%: 20% 85%: 15%. Data processing. Processing of data obtained from observations presented in the form of tables, to find out the nature of organoleptic (aroma, flavor, texture and color) in each addition of the sausage making materials processed and analyzed using a statistical analysis of One Way Anova at a trust level of 95% (A = 0.05). If there is a significant impact, the data is analyzed further using the Tukey test to see which treatment is causing the difference. Research results. The comparison of cork fish and composite flour is significant effect on the taste color of texture and aroma. The PMT of Gasuhiru sausage contains 262KKL and 16.72 gr of protein in 100gr. Gasuhiru sausage receiving 83.3% well received.Conclusion: The most liked sausage is a comparison of 85%: 15%. The administration of PMT provides a significant effect on children's weight loss and is 3 times greater than the Conntrol group.

scholarly journals The impact of COVID-19 pandemic on the quality of life

2021 ◽  
Vol 129 ◽  
pp. 01029
Author(s):  
Zuzana Stofkova ◽  
Peter Seemann
Keyword(s):  
Quality Of Life ◽  
Local Governments ◽  
National Level ◽  
Value Added ◽  
Subjective Quality ◽  
Life Assessment ◽  
Subjective Quality Of Life ◽  
Current State ◽  
The Impact

Research background: The paper deals with the quality of life and the impact of the pandemic COVID-19 on people’s lives in Slovakia and in selected region. The concept of quality of life and dimensions of quality of life, which are necessary for its evaluation are mentioned, too. It also describes the current state of the issue in Slovakia and abroad on the basis of the selected indicators, where individual countries of the world are compared. Purpose of the article: There are mentioned approaches to quality of life assessment and to conduct a survey of quality of life in a selected region which deals with the development of the quality of life. The paper deals with the analysis of the current state of the problem in Slovakia and abroad. Various definitions of the term quality of life through several authors and views. Methods: Indices in a global and national level for assessment of selected aspects of objective and subjective quality of life in terms of pandemics COVID-19 are mentioned. In order to assess the impact of a pandemic related to COVID-19 on satisfaction of citizens with several aspects of their lives in selected region is analyzed on the basis of an e-survey. Findings & Value added: The result of the article is a comparison of individual indicators of the subjective quality of life in selected EU member states and the Slovak Republic. A survey of the satisfaction of the inhabitants of selected region with selected areas of quality of their lives connected with the COVID-19 pandemic is carried out in order to monitor and evaluate the quality of life at the level of local governments.

scholarly journals Water Retention in Nature-Based Solutions—Assessment of Potential Economic Effects for Local Social Groups

Water ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 3347
Author(s):  
Zwoździak Jerzy ◽  
Szałata Łukasz ◽  
Zwoździak Anna ◽  
Kwiecińska Kornelia ◽  
Byelyayev Maksym
Keyword(s):  
Climate Change ◽  
Water Retention ◽  
Economic Effect ◽  
Social Groups ◽  
Economic Effects ◽  
Operating Costs ◽  
Current State ◽  
The Impact

The upcoming trends related to climate change are increasing the level of interest of social groups in solutions for the implementation and the realization of activities that will ensure the change of these trends and can reduce the impact on the environment, including the health of the community exposed to these impacts. The implementation of solutions aimed at improving the quality of the environment requires taking into account not only the environmental aspects but also the economic aspect. Taking into account the analysis of solutions changing the current state of climate change, the article focuses on the analysis of the potential economic effect caused by the implementation of nature-based solutions (NBSs) in terms of reducing the operating costs related to water retention for local social groups. The analysis is based on a case study, one of the research projects studying nature-based solutions, created as part of the Grow Green project (H2020) in Wrocław in 2017–2022. The results of the analysis are an observed potential positive change in economic effects, i.e., approximately 85.90% of the operating costs related to water retention have been reduced for local social groups by NBSs.

scholarly journals Missing Values and Optimal Selection of an Imputation Method and Classification Algorithm to Improve the Accuracy of Ubiquitous Computing Applications

2015 ◽  
Vol 2015 ◽  
pp. 1-14 ◽  
Author(s):  
Jaemun Sim ◽  
Jonathan Sangyun Lee ◽  
Ohbyung Kwon
Keyword(s):  
Data Analysis ◽  
Missing Data ◽  
Real World ◽  
Missing Values ◽  
Complete Data ◽  
Classification Algorithms ◽  
Quality Of Data ◽  
Related Data ◽  
Ubiquitous Environment

In a ubiquitous environment, high-accuracy data analysis is essential because it affects real-world decision-making. However, in the real world, user-related data from information systems are often missing due to users’ concerns about privacy or lack of obligation to provide complete data. This data incompleteness can impair the accuracy of data analysis using classification algorithms, which can degrade the value of the data. Many studies have attempted to overcome these data incompleteness issues and to improve the quality of data analysis using classification algorithms. The performance of classification algorithms may be affected by the characteristics and patterns of the missing data, such as the ratio of missing data to complete data. We perform a concrete causal analysis of differences in performance of classification algorithms based on various factors. The characteristics of missing values, datasets, and imputation methods are examined. We also propose imputation and classification algorithms appropriate to different datasets and circumstances.

scholarly journals Integrating Satellite-Derived Data as Spatial Predictors in Multiple Regression Models to Enhance the Knowledge of Air Temperature Patterns

Urban Science ◽  
2019 ◽  
Vol 3 (4) ◽  
pp. 101 ◽  
Author(s):  
Lucille Alonso ◽  
Florent Renard
Keyword(s):  
Remote Sensing ◽  
Air Temperature ◽  
Urban Areas ◽  
Land Development ◽  
Explanatory Variables ◽  
Dense Networks ◽  
Urban Heat ◽  
Derived Data ◽  
Computer Resources

With the phenomenon of urban heat island and thermal discomfort felt in urban areas, exacerbated by climate change, it is necessary to best estimate the air temperature in every part of an area, especially in the context of the on-going rationalization weather stations network. In addition, the comprehension of air temperature patterns is essential for multiple applications in the fields of agriculture, hydrology, land development or public health. Thus, this study proposes to estimate the air temperature from 28 explanatory variables, using multiple linear regressions. The innovation of this study is to integrate variables from remote sensing into the model in addition to the variables traditionally used like the ones from the Land Use Land Cover. The contribution of spectral indices is significant and makes it possible to improve the quality of the prediction model. However, modeling errors are still present. Their locations and magnitudes are analyzed. However, although the results provided by modelling are of good quality in most cases, particularly thanks to the introduction of explanatory variables from remote sensing, this can never replace dense networks of ground-based measurements. Nevertheless, the methodology presented, applicable to any territory and not requiring specific computer resources, can be highly useful in many fields, particularly for urban planners.

DBSCANI: Noise-Resistant Method for Missing Value Imputation

2016 ◽  
Vol 25 (3) ◽  
pp. 431-440 ◽  
Author(s):  
Archana Purwar ◽  
Sandeep Kumar Singh
Keyword(s):  
Spatial Data ◽  
Missing Values ◽  
Clustering Algorithm ◽  
Spatial Clustering ◽  
Data Sets ◽  
Quality Of Data ◽  
Data Set ◽  
Dbscan Clustering ◽  
Density Based Clustering

AbstractThe quality of data is an important task in the data mining. The validity of mining algorithms is reduced if data is not of good quality. The quality of data can be assessed in terms of missing values (MV) as well as noise present in the data set. Various imputation techniques have been studied in MV study, but little attention has been given on noise in earlier work. Moreover, to the best of knowledge, no one has used density-based spatial clustering of applications with noise (DBSCAN) clustering for MV imputation. This paper proposes a novel technique density-based imputation (DBSCANI) built on density-based clustering to deal with incomplete values in the presence of noise. Density-based clustering algorithm proposed by Kriegal groups the objects according to their density in spatial data bases. The high-density regions are known as clusters, and the low-density regions refer to the noise objects in the data set. A lot of experiments have been performed on the Iris data set from life science domain and Jain’s (2D) data set from shape data sets. The performance of the proposed method is evaluated using root mean square error (RMSE) as well as it is compared with existing K-means imputation (KMI). Results show that our method is more noise resistant than KMI on data sets used under study.

scholarly journals Status of our Science

2017 ◽  
Author(s):  
Matt Motyl ◽  
Alexander Pantelis Demos ◽  
Timothy S Carsel ◽  
Brittany Elyse Hanson ◽  
JP Prims ◽  
...  
Keyword(s):  
Current Debate ◽  
Scientific Quality ◽  
Great Length ◽  
Research Practices ◽  
Personality Psychology ◽  
Positive Direction ◽  
Questionable Research Practices ◽  
Current State ◽  
The Impact

The scientific quality of social and personality psychology has been debated at great length in recent years. Despite research on the prevalence of questionable research practices (QRPs) and the replicability of particular findings, the impact of the current discussion on research practices is unknown. The current studies examine whether and how practices have changed, if at all, over the last 10 years. In Study 1, we surveyed 1,166 social and personality psychologists about how the current debate has affected their perceptions of their own and the field’s research practices. In Study 2, we coded the research practices and critical test statistics from social and personality psychology articles published in 2003-2004 and 2013-2014. Together, these studies suggest that (1) perceptions of the current state of the field are more pessimistic than optimistic; (2) the discussion has increased researchers’ intentions to avoid QRPs and adopt proposed best practices, (3) the estimated replicability of research published in 2003-2004 may not be as bad as many feared, and (4) research published in 2013-2014 shows some improvement over research published in 2003-2004, a result that suggests the field is evolving in a positive direction.

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