Temat: component - Prolib Integro

Skocz do pozycji: 1.

Tytuł:: Physicochemical characterization of synclinal spring water of Taoura, region of Souk Ahras – North East Algeria
Autorzy:: Bouhafs, Fatma
Laraba, Abdelaziz
Tematy:: chemistry
principal component analysis
PCA
pollution
springs
Taoura
water quality; Pokaż więcej
Wydawca:: Instytut Technologiczno-Przyrodniczy
Powiązania:: https://bibliotekanauki.pl/articles/1841971.pdf Link otwiera się w nowym oknie
Opis:: The springs of the Taoura region flow from a syncline shaped structure. All resources in the region were mobilized as a result of increased demand. However, the development of anthropic activities and population growth in the area pose risk for groundwater. Analytical results obtained from a series of samplings in November 2017–April 2018, express the quality of water suitable for the irrigation of agricultural land. The highest values are recorded in April 2018 at 20.5 to 21.6°C and pH of 8.0 to 8.2. The study recorded high electrical conductivity from 1390 to 1495 μS∙cm–1 and TDS from 1270 to 1500 mg∙dm–3 in November 2017, which shows important mineralization that characterizes spring water. Physical parameters were measured in situ using a HORIBA multi-parameter probe. Chemical analyses were carried out using NFT 90-005 titration, and nitrogen parameters by DIN 38405-D92 spectrophotometry. Maximum levels of nitrates and phosphates were recorded at 228 and 18.4 mg∙dm–3 respectively. The principal component analysis (PCA) showed a good correlation of the November 2017 period with mineralization parameters. Moreover, there is a strong correlation between the wet period and pollution factors. The two methods of analysis has allowed to distinguish three groups of geochemical water types: a bicarbonate calcium group typical for waters having transited in carbonate horizons. A second chloride calcium group shows basic exchange between water and clay levels, and the third chloride bicarbonate calcium group reveals an enrichment in calcium and chloride, which reflects water circulation with an exchange of the carbonated and evaporitic sedimentary rock matrix.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 2.

Tytuł:: Clustering Analysis of Soil Environmental Quality for Perennial Crop Recommendations in Vinh Long Province, Vietnam
Autorzy:: Minh, Vo Quang
Vu, Pham Thanh
Khoa, Le Van
Tinh, Tran Kim
Dang, Pham Cam
Tematy:: clustering
perennial crop
PCA
principal component analysis
soil environmental quality; Pokaż więcej
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Powiązania:: https://bibliotekanauki.pl/articles/59114110.pdf Link otwiera się w nowym oknie
Opis:: The study aimed to evaluate the soil environmental characteristics of Vinh Long Province’s perennial crop-growing area using principal component analysis (PCA) and cluster analysis (CA). Soil environmental quality data were collected in eight districts of Vinh Long province for 27 physical and chemical parameters. CA and PCA analysis was used to group and identify critical parameters affecting perennial crops’ soil environment. The findings demonstrate low to moderate soil compaction porosity, buffering capacity, and structure for perennial crops. In addition, the soil has a low pH, electrical conductivity, total soluble salts, aluminum, and cation exchange capacity. Although rich in nutrients, the content of organic matter, available phosphorus, cations, and trace elements is only low to moderate. CA results showed three districts suitable for strongly developing perennial crops: Tra On, Mang Thit, and Vung Liem. The PCA results showed that except for density, the buffer capacity of the soil, and dissolved Al3+, the upcoming monitoring program must incorporate all remaining criteria. The study’s findings offer crucial information to help the management organization devise strategies for enhancing and sustainably expanding perennial crops in the province. It is necessary to further evaluate the soil’s environmental quality over time and soil depth and determine the frequency of monitoring in the study area.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 3.

Tytuł:: Interrelationship and Determining Factors of Water Quality Dynamics in Whiteleg Shrimp Ponds in Tropical Eco-Green Aquaculture System
Autorzy:: Musa, Muhammad
Mahmudi, Mohammad
Arsad, Sulastri
Lusiana, Evellin Dewi
Sunadji
Wardana, Wisnu Angga
Ompusunggu, Magdalena Florensia
Damayanti, Dhea Novita
Tematy:: aquaculture wastewater
intensive system
Litopenaeus vannamei
mangrove
PCA
principal component analysis; Pokaż więcej
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Powiązania:: https://bibliotekanauki.pl/articles/2202326.pdf Link otwiera się w nowym oknie
Opis:: Whiteleg shrimp (Litopenaeus vannamei) farming is a major activity in the coastal areas of many tropical countries. To meet the demand in this market, the culture system has expanded using intensive technology, which has resulted in the emission of effluents that threaten the surrounding aquatic ecosystem. Therefore, proper aquaculture management is needed to ensure both economic and ecological benefits. This led to the emergence of eco-green aquaculture. Water quality monitoring is a critical part of aquaculture management and when performed regularly, it yields a large and complex dataset. In this study, the authors aimed to analyse the dynamics of water quality characteristics and the relationships between these variables in whiteleg shrimp ponds in a tropical eco-green aquaculture system from 2020 to 2022. Since the data includes nine parameters and is quite complex, the principal component analysis (PCA) approach was used. This method enables to identify the factors that determine water quality, which will help ensure effective and efficient aquaculture management. Consequently, the water quality variables in the studied area were reduced to five dimensions and salinity, ammonia, and pH were found to be the key factors responsible for the changes in water quality characteristics. Hence, these variables should be the focus of farming management systems.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 4.

Tytuł:: Assessment of heavy metal pollution in groundwater using a multivariate analysis approach
Autorzy:: Sbai, Khalid
Tahri, Latifa
Hafiane, Fatima Zahra
Halima, Oumaima Iben
Fekhaoui, Mohammed
Tematy:: groundwater
heavy metals
pollution
principal component analysis
PCA
Tiflet region
water quality; Pokaż więcej
Wydawca:: Instytut Technologiczno-Przyrodniczy
Powiązania:: https://bibliotekanauki.pl/articles/58906991.pdf Link otwiera się w nowym oknie
Opis:: The current study aims to assess underground water pollution using an integrated approach that combines statistical methods such as principal component analysis (PCA) and water quality diagrams (Piper diagram, Schoeller-Berkalov diagram). A total of twenty water samples were collected from the Tiflet region in the Sebou basin and analysed for various physicochemical parameters, including temperature, pH, and heavy metal concentrations (Cu2+, Zn2+, Fe2+ and Pb2+). The average concentrations of Pb2+, Zn2+, Cu2+, and Fe2+ in the water samples were found to be 41.9, 14.8, 20.1, and 8.1 mg∙dm-3, respectively. These concentrations indicate a significant presence of heavy metals in the groundwater samples. Therefore, it can be concluded that the groundwater in this area is heavily polluted with heavy metals and other pollutants. This finding raises concerns regarding the use of this water for irrigation and agricultural activities in the region. This suggests that these four components play a crucial role in determining the overall water quality. The distribution patterns of the metals Pb2+, Zn2+, Cu2+, and Fe2+ in the well water within the study area are of particular environmental concern. It is recommended to establish a monitoring network to ensure the sustainable management of water resources in order to address this issue effectively.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 5.

Tytuł:: Identification of changes of machine technical state on the basis of results of principle component analysis of a sequence of thermographic images
Identyfikacja zmian stanu obiektów technicznych na podstawie wyników analizy głównych składowych sekwencji zdjęć termograficznych
Autorzy:: Fidali, M.
Bzymek, A.
Tematy:: diagnostyka
maszyna
termowizja
termografia
analiza głównych składowych
machine
diagnostics
thermovision
thermography
principal component analysis
PCA; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
Powiązania:: https://bibliotekanauki.pl/articles/327752.pdf Link otwiera się w nowym oknie
Opis:: During continuous object observation with the use of a thermographic device, a sequence of thermographic images can be recorded in time function. On the basis of an acquired series of thermograms, determination of diagnostic signals and identification of changes of a machine technical state is possible. An approach presented in the paper concerns application of a Principal Component Analysis (PCA) method. In order to verify the method, an active diagnostic experiment, during which sequences of thermographic images were recorded and analyzed according to their components, was carried out. The obtained results showed that diagnostic signals provided by PCA could be used for identification of changes of a technical state as well as classification of the state with considerably high efficiency.
Podczas ciągłej obserwacji termowizyjnej obiektu technicznego rejestrowana jest sekwencja obrazów w czasie. Na podstawie zarejestrowanej sekwencji obrazów możliwe jest wyznaczenie sygnałów diagnostycznych pozwalających na identyfikację stanu technicznego obserwowanego obiektu. W artykule zaproponowano metodę diagnozowania maszyn na podstawie wyników analizy składowych głównych (PCA) sekwencji obrazów termowizyjnych. W celu weryfikacji metody przeprowadzono czynny eksperyment diagnostyczny, podczas którego rejestrowano sekwencje obrazów, które poddano analizie składowych. Uzyskane wyniki wykazały, że metoda składowych głównych pozwala na identyfikację zmian stanu technicznego oraz efektywną klasyfikację stanu technicznego maszyny.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 6.

Tytuł:: Multi-parameter data visualization by means of principal component analysis (PCA) in qualitative evaluation of various coal types
Autorzy:: Niedoba, T.
Tematy:: principal component analysis
PCA
multi-parameter data visualization
coal
identification of data
covariance matrix
pattern recognition; Pokaż więcej
Wydawca:: Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Powiązania:: https://bibliotekanauki.pl/articles/109595.pdf Link otwiera się w nowym oknie
Opis:: Multi-parameter data visualization methods are a modern tool allowing to classify some analyzed objects. When it comes to grained materials, e.g. coal, many characteristics have an influence on the material quality. Besides the most obvious features like particle size, particle density or ash contents, coal has many other qualities which show significant differences between the studied types of material. The paper presents the possibility of applying visualization techniques for coal type identification and determination of significant differences between various types of coal. The Principal Component Analysis was applied to achieve this purpose. Three types of coal 31, 34.2 and 35 (according to Polish classification of coal types) were investigated, which were initially screened on sieves and subsequently divided into density fractions. Next, each size-density fraction was analyzed chemically to obtain other characteristics. It was pointed out that the applied methodology allowed to identify certain coal types efficiently, which makes it useful as a qualitative criterion for grained materials. However, it was impossible to provide such identification based on contrastive comparisons of all three types of coal. The presented methodology is a new way of analyzing data concerning widely understood mineral processing.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 7.

Tytuł:: A principal component analysis in concrete design
Autorzy:: Kobaka, Janusz
Katzer, Jacek
Tematy:: principal component analysis
PCA
concrete designing
concrete mix
analiza głównych składowych
projektowanie betonu
mieszanka betonowa; Pokaż więcej
Wydawca:: Politechnika Częstochowska
Powiązania:: https://bibliotekanauki.pl/articles/31342619.pdf Link otwiera się w nowym oknie
Opis:: Over the last 200 years, ordinary concrete has evolved from four basic ingredient materials (gravel, sand, cement, and water) to multicomponent complex composites. The number and variety of the additives, admixtures, non-conventional aggregates, fillers, and fibres currently used for concrete production have continued to grow rapidly. Regrettably, the methods for de-signing concrete mixes have not evolved at a similarly fast pace. Keeping the above facts in mind, the authors utilised a principal component analysis (PCA) to design modern concrete mixes. As an initial approach, 550 cast and tested concrete mixes were analysed. The main aim of the presented study was to prove the usefulness of the PCA methodology for the fast classification of concrete mix compositions. The acquired knowledge should be useful for the effective design of multicomponent modern concrete mixes.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 8.

Tytuł:: Chatter detection using principal component analysis in cold rolling mill
Autorzy:: Usmani, N. I.
Kumar, S.
Velisatti, S.
Tiwari, P. K.
Mishra, S. K.
Patnaik, U. S.
Tematy:: chatter
principal component analysis
PCA
cold rolling
vibration
drgania samowzbudne
analiza składowych głównych
walcowanie na zimno
drgania; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
Powiązania:: https://bibliotekanauki.pl/articles/329460.pdf Link otwiera się w nowym oknie
Opis:: Most cold rolling mills are prone to chatter problem. Chatter marks are often observed on the strip surface in cold rolling mill leading to downgrade and rejection of rolled material. Chatter impact product quality as well as productivity of mill. In absence of online chatter detection no corrective action can be taken immediately and whole campaign gets affected. Most conventional approach for online chatter detection is by using vibration measurement of mill stands in time & frequency domain. Present work proposes two approaches to detect chatter in cold rolling mill using a statistical technique called Principal Component Analysis (PCA). In this paper two methods are used for chatter detection. First method applies PCA on Fast Fourier Transform (FFT) to differentiate between chatter and non-chatter condition. Second method applies PCA on statistical parameters calculated from raw vibration data to detect chatter.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 9.

Tytuł:: Principal components of innovation performance in European Union countries
Główne składowe innowacyjności w krajach Unii Europejskiej
Autorzy:: Kleszcz, Agnieszka
Tematy:: innovation
European Innovation Scoreboard
EIS
principal component analysis
PCA
innowacje
Europejski Ranking Innowacyjności
analiza głównych składowych; Pokaż więcej
Wydawca:: Główny Urząd Statystyczny
Powiązania:: https://bibliotekanauki.pl/articles/1813754.pdf Link otwiera się w nowym oknie
Opis:: Innovation is one of the main determinants of economic development. Innovative activity is very complex, thus difficult to measure. The complexity of the phenomenon poses a great challenge for researchers to understand its determinants. The article focuses on the problem of innovation-related geographical disparities among European Union countries. Moreover, it analyses the principal components of innovation determined on the basis of the European Innovation Scoreboard (EIS) dimensions. The aim of the paper is to identify the principal components of the innovation index which differentiate countries by analysing the structure of the correlation between its components. All calculations were based on indicators included in the EIS 2020 Database, containing data from the years 2012–2019. A comparative analysis of the studied countries’ innovation performance was carried out, based on the principal component analysis (PCA) method, with the purpose of finding the uncorrelated principal components of innovation which differentiate the studied countries. The results were achieved by reducing a 10-dimensional data set to a 2-dimensional one, for a simpler interpretation. The first principal component (PC1) consisted of the human resources, attractive research systems, and finance and support dimensions (understood as academia and finance). The second principal component (PC2), involving the employment impacts and linkages dimensions, was interpreted as business-related. PC1 and PC2 jointly explained 68% of the observed variance, and similar results were obtained for the 27 detailed indicators outlined in the EIS. We can therefore assume that we have an accurate representation of the information contained in the EIS data, which allows for an alternative assessment and ranking of innovation performance. The proposed simplified index, described in a 2-dimensional space, based on PC1 and PC2, makes it possible to group countries in a new way, according to their level of innovation, which offers a wide range of application, e.g. PC1 captures geographic disparities in innovation corresponding to the division between the old and new EU member states.
Innowacyjność należy do głównych wyznaczników rozwoju gospodarczego. Działalność innowacyjna jest bardzo złożona, a przez to trudna do zmierzenia. Dużym wyzwaniem dla badaczy jest także poznanie uwarunkowań tego zjawiska. W artykule skupiono się na problemie zróżnicowania terytorialnego innowacyjności wśród krajów Unii Europejskiej, a także a Uniwersytet Jana Kochanowskiego w Kielcach, Wydział Nauk Ścisłych i Przyrodniczych, Instytut Geografii i Nauk o Środowisku, Polska / Jan Kochanowski University of Kielce, Faculty of Natural Sciences, Institute of Geography and Environmental Sciences, Poland. ORCID: https://orcid.org/0000-0002-0450-5247. E-mail: agakleszcz87@gmail.com. © Główny Urząd Statystyczny A. KLESZCZ Principal components of innovation performance in European Union countries 25 na analizie głównych składowych innowacyjności wyznaczonych przy wykorzystaniu wskaźników uwzględnianych w Europejskim Rankingu Innowacyjności (European Innovation Scoreboard – EIS). Celem badania omawianego w artykule jest identyfikacja głównych składowych innowacyjności różnicujących kraje na podstawie analizy struktury korelacji. Obliczenia oparto na wskaźnikach zawartych w bazie EIS 2020, obejmujących 2012–2019. Przeprowadzono analizę porównawczą krajów pod kątem wydajności innowacyjnej przy użyciu metody analizy głównych składowych (PCA), aby znaleźć nieskorelowane główne składowe innowacji różnicujące kraje. Wyniki uzyskano dzięki zredukowaniu 10-wymiarowego zestawu danych do zestawu 2-wymiarowego, łatwiejszego do interpretacji. Pozwoliło to wyróżnić pierwszą główną składową (PC1) zawierającą zasoby ludzkie, atrakcyjne systemy badawcze, finanse i wsparcie rozumiane jako środowisko akademickie i finanse. Druga główna składowa (PC2), obejmująca wpływ na zatrudnienie i sieć powiązań, jest interpretowana jako związana z biznesem. Składowe PC1 i PC2 wyjaśniły łącznie 68% wariancji; podobne wyniki uzyskano dla zestawu 27 szczegółowych wskaźników uwzględnianych w EIS. Można zatem uznać, że daje to dokładną reprezentację danych EIS, która zapewnia alternatywną ocenę i ranking wyników w zakresie innowacji. Zaproponowany uproszczony indeks innowacyjności, opisany w przestrzeni dwuwymiarowej, opierający się na PC1 i PC2, umożliwia nowy sposób grupowania krajów i może mieć szerokie zastosowanie, np. PC1 przedstawia geograficzne zróżnicowanie innowacji odpowiadające podziałowi na kraje członkowskie starej i nowej Unii.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 10.

Tytuł:: The impact of water quality on the availability of phytoplankton and growth of Litopenaeus vannamei
Autorzy:: Musa, Muhammad
Thoyibah, Auliarifka A.
Puspitaningtyas, Dyah A.
Arsad, Sulastri
Mahmudi, Mohammad
Lusiana, Evellin D.
Maftuch, Maftuch
Huda, Agus S.
Tematy:: algae
aquaculture
canonical correspondence analysis
CCA
dynamics of water quality
principal component analysis
PCA
vannamei shrimp; Pokaż więcej
Wydawca:: Instytut Technologiczno-Przyrodniczy
Powiązania:: https://bibliotekanauki.pl/articles/2203547.pdf Link otwiera się w nowym oknie
Opis:: This research analysed the availability of phytoplankton and the growth rate of Vannamei shrimp in relation to water quality changes. The research was carried out in February-March 2021 for a half cycle of shrimp cultivation in two ponds of the Brackish Water Fish Culture Probolinggo Laboratory in Probolinggo, East Java, Indonesia. The research used a descriptive method and included a survey. Sampling was made every two weeks for two months. Nine parameters were measured and ten shrimps were taken for a specific growth rate (SGR) measurement once per sampling. Data were analysed using the principal component analysis (PCA) and canonical correspondence analysis (CCA). Secondary data of water quality were added for the PCA. The results show that the phytoplankton found in the first pond consisted of Chlorophyta, Chrysophyta, and Cyanophyta, whereas the phytoplankton in the other pond included Chlorophyta, Chrysophyta, Cyanophyta, and Dinophyta. The abundance of phytoplankton ranged from 12-80∙103 cell∙cm-3, which indicated eutrophic waters. The PCA demonstrated that pH, nitrate, and total organic matter (TOM) significantly influenced phytoplankton abundance in the pond. In addition, water quality parameters, such as temperature, transparency, salinity, nitrite and phosphate levels, were tolerable in both ponds for the growth of shrimps. However, the level of pH was lower than the aquaculture quality standard, whereas those of nitrate, ammonia, and TOM were higher. The growth rate of Vannamei shrimp increased by 0.76–7.34%∙day-1.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Informacja

Wyszukujesz frazę "component" wg kryterium: Temat