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    Wyświetlanie 1-6 z 6
    Tytuł:
    An identification source of variation on the water quality pattern in the Malacca River basin using chemometric approach
    Autorzy:
    Hua, A. K.
    Powiązania:
    https://bibliotekanauki.pl/articles/204612.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    hierarchical cluster analysis
    discriminant analysis
    principal component analysis
    multiple linear
    regression analysis
    Opis:
    The Malacca River basin experienced river water pollution which caused a major deterioration to the ecosystems and environmental health. This study is carried out to assess the water quality data and identify the pattern of water pollution sources in the study area, and also to develop a predictive performance of water quality in the Malacca River basin. A chemometric approach using a combination of HCA, DA, PCA, and MLR, was applied into twenty water quality variables from nine sampling stations that were collected from January until December of 2015 in the river basin. HCA pointed out three clusters, namely Cluster 1 (C1) with low pollution source, Cluster 2 (C2) with moderate pollution source, and Cluster 3 (C3) with high pollution source. In the DA analysis, the results showed 21 variables, 12 variables, and 9 variables for standard mode, forward stepwise mode, and backward stepwise mode, respectively. Meanwhile, the PCA indicated that the main source of pollutants is detected from residential, industrial, commercial, agricultural, animal livestock, as well as forest land. Among the three models developed from MLR analysis, C3 with a high pollution source is detected to be the most suitable model to be used for the prediction of Water Quality Index in the Malacca River basin. This study proposed for an effective river water quality management by having new water quality monitoring network to be designed for more practical use in order to reduce time and effort, as well as cost saving purposes.
    Źródło:
    Archives of Environmental Protection; 2018, 44, 4; 111-122
    2083-4772
    2083-4810
    Pojawia się w:
    Archives of Environmental Protection
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Identification and prioritization of factors influencing the increase in construction costs of building investments using factor analysis
    Autorzy:
    Seyedebrahimi, Seyedkazem
    Mirjalili, Alireza
    Sadeghian, Abolfazl
    Powiązania:
    https://bibliotekanauki.pl/articles/1852306.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    koszt
    projekt budowlany
    analiza hierarchiczna
    Yazd
    czynnik zarządzania
    czynnik środowiskowy
    czynnik prawno-administracyjny
    cost
    construction project
    hierarchical analysis
    management factor
    environmental factor
    legal and administrative factor
    Opis:
    A large portion of the credits and financial resources of countries is spent on the preparation and construction of building projects because their implementation would create housing, job opportunities, financial turnover, and economic prosperity. At present, many construction projects are under construction in developing countries, and most of these projects are facing rising costs. The local scope of this research is construction projects in Yazd city. This research is operational in terms of purpose and was carried out in a descriptive and survey manner with an analytical-mathematical method. Data collection was done by documentary and survey methods. The Statistical Society consisted of 150 managers and officials, contractors, and actors involved in construction projects. Data analysis by hierarchical analysis technique showed that the criterion of management factors with a weight of 0.582 has the highest priority in increasing building costs. The criterion of environmental factors with a weight of 0.309 is at the second priority. The criterion of legal and administrative factors with a weight of 0.109 is in the third priority. Therefore, a key element in increasing the cost of construction projects in the under-studied city is the management factor that can be reduced by establishing new management systems and improving the quality of construction projects.
    Źródło:
    Archives of Civil Engineering; 2021, 67, 3; 705-722
    1230-2945
    Pojawia się w:
    Archives of Civil Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Assessing geological and mining condition nuisance and its impact on the cost of exploitation in hard coal mines with the use of a multi-criterion method
    Uciążliwość warunków geologiczno-górniczych i jej wpływ na koszty eksploatacji w kopalniach węgla kamiennego - wykorzystanie metody wielokryterialnej
    Autorzy:
    Sobczyk, E. J.
    Kopacz, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/219922.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    złoża węgla kamiennego
    górnictwo węgla kamiennego
    Hierarchiczna Analiza Problemu AHP
    uciążliwość warunków procesu eksploatacji
    koszty eksploatacji
    coal deposits
    hard coal mining
    Hierarchical Problem Analysis AHP
    nuisance to the mining process conditions
    costs of mining
    Opis:
    This article presents the use of a multi-criterion Analytic Hierarchy Process (AHP) method to assess geological and mining condition nuisance in longwall mining operations in selected coal mines in Poland. For this purpose, a methodology has been developed which was used to calculate the operational nuisance indicator (WUe) in relation to the cost of mining coal in individual longwalls. Components of the aggregate operational nuisance indicator include four sub-indicators: the natural hazards indicator (UZN), an indicator describing the seam parameters (UPZ), an indicator describing the technical parameters (UT) and an environmental impact indicator (UŚ). In total, the impact of 28 different criteria, which formed particular components of the nuisance indicators were analysed. In total 471 longwalls in 11 coal mines were analysed, including 277 longwalls that were mined in the period of 2011 to 2016 and 194 longwalls scheduled for exploitation in the years 2017 to 2021. Correlation analysis was used to evaluate the relationships between nuisance and the operating costs of longwalls. The analysis revealed a strong correlation between the level of nuisance and the operating costs of the longwalls under study. The design of the longwall schedule should therefore also take into account the nuisance arising from the geological and mining conditions of the operations. Selective operations management allows for the optimization of costs for mining in underground mines using the longwall system. This knowledge can also be used to reduce the total operating costs of mines as a result of abandoning the mining operations in entire longwalls or portions of longwalls that may be permanently unprofitable. Currently, underground mines do not employ this optimization method, which even more emphasizes the need for popularizing this approach.
    Artykuł przedstawia zastosowanie wielokryterialnej metody AHP (Analytic Hierarchy Process) do oceny poziomu uciążliwości warunków geologicznych i górniczych procesu prowadzenia eksploatacji w ścianach wydobywczych wybranych kopalń węgla kamiennego w Polsce. W tym celu opracowano metodykę, która posłużyła do obliczenia wskaźnika uciążliwości eksploatacji WUe w kontekście kosztów wydobycia węgla w poszczególnych ścianach. Składowymi wskaźnika uciążliwości są cztery subwskaźniki: wskaźnik wynikający z zagrożeń naturalnych (UZN), wskaźnik charakteryzujący parametry pokładu (UPZ), wskaźnik określający parametry techniczne (UT) oraz wskaźnik wpływu eksploatacji na środowisko (UŚ). Łącznie analizowano wpływ 28 różnych kryteriów wchodzących w skład poszczególnych składowych uciążliwości. Analizie poddano 471 ścian wydobywczych w 11 kopalniach węgla kamiennego, w tym 277 ścian, które były eksploatowane w latach 2011-2016 oraz 194 ściany zaprojektowane do eksploatacji na lata 2017-2021. Przy ocenie związków kosztów operacyjnych ścian i uciążliwości zastosowano analizę korelacji. Analiza wykazała silny związek między poziomem uciążliwości eksploatacji a kosztami operacyjnymi tych ścian. Projektowanie harmonogramu biegu ścian powinno zatem uwzględniać również aspekt uciążliwości wynikającej z warunków geologiczno-górniczych eksploatacji. Selektywne zarządzanie wydobyciem umożliwia optymalizację kosztów wydobycia w kopalniach podziemnych stosujących system ścianowy. Wiedza ta może być wykorzystana również do obniżenia całkowitych kosztów operacyjnych kopalń wskutek zaniechania udostępniania i eksploatacji ścian, partii i całych rejonów, które mogą być trwale nierentowne. Na koniec należy dodać, że w kopalniach podziemnych nie stosuje się tego typu rozwiązań, co tym bardziej podkreśla potrzebę popularyzacji tego podejścia.
    Źródło:
    Archives of Mining Sciences; 2018, 63, 3; 665-686
    0860-7001
    Pojawia się w:
    Archives of Mining Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Methodological aspects of qualitative-quantitative analysis of decision-making processes
    Autorzy:
    Gawlik, R.
    Powiązania:
    https://bibliotekanauki.pl/articles/406734.pdf
    Data publikacji:
    2016
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    qualitative-quantitative analysis
    hierarchical decision-making
    neural-network models
    management
    manufacturing processes
    Opis:
    The paper aims at recognizing the possibilities and perspectives of application of qualitativequantitative research methodology in the field of economics, with a special focus on production engineering management processes. The main goal of the research is to define the methods that would extend the research apparatus of economists and managers by tools that allow the inclusion of qualitative determinants into quantitative analysis. Such approach is justified by qualitative character of many determinants of economic occurrences. At the same time quantitative approach seems to be predominant in production engineering management, although methods of transposition of qualitative decision criteria can be found in literature. Nevertheless, international economics and management could profit from a mixed methodology, incorporating both types of determinants into joint decision-making models. The research methodology consists of literature review and own analysis of applicability of mixed qualitative-quantitative methods for managerial decision-making. The expected outcome of the research is to find which methods should be applied to include qualitativequantitative analysis into multicriteria decision-making models in the fields of economics, with a special regard to production engineering management.
    Źródło:
    Management and Production Engineering Review; 2016, 7, 2; 3-11
    2080-8208
    2082-1344
    Pojawia się w:
    Management and Production Engineering Review
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Forecasting of a Hierarchical Functional Time Series on Example of Macromodel for the Day and Night Air Pollution in Silesia Region — A Critical Overview
    Autorzy:
    Kosiorowski, Daniel
    Mielczarek, Dominik
    Rydlewski, Jerzy P.
    Powiązania:
    https://bibliotekanauki.pl/articles/2076274.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    day and night air pollution
    functional data analysis
    functionalmedian
    hierarchical time series
    reconciliation of forecasts
    Opis:
    In economics we often face a system which intrinsically imposes a structure of hierarchy of its components, i.e., in modeling trade accounts related to foreign exchange or in optimization of regional air protection policy. A problem of reconciliation of forecasts obtained on different levels of hierarchy has been addressed in the statistical and econometric literature many times and concerns bringing together forecasts obtained independently at different levels of hierarchy. This paper deals with this issue with regard to a hierarchical functional time series. We present and critically discuss a state of art and indicate opportunities of an application of these methods to a certain environment protection problem. We critically compare the best predictor known from the literature with our own original proposal. Within the paper we study a macromodel describing the day and night air pollution in Silesia region divided into five subregions.
    Źródło:
    Central European Journal of Economic Modelling and Econometrics; 2018, 1; 53-73
    2080-0886
    2080-119X
    Pojawia się w:
    Central European Journal of Economic Modelling and Econometrics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Hierarchical Bi-LSTM based emotion analysis of textual data
    Autorzy:
    Mahto, Dashrath
    Yadav, Subhash Chandra
    Powiązania:
    https://bibliotekanauki.pl/articles/2173676.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    emotion analysis
    machine learning
    emotion detection
    deep learning
    hierarchical Bi-LSTM
    analiza emocji
    uczenie maszynowe
    wykrywanie emocji
    głęboka nauka
    hierarchiczna dwukierunkowa pamięć krótkotrwała
    Opis:
    Nowadays, Twitter is one of the most popular microblogging sites that is generating a massive amount of textual data. Such textual data is intended to incorporate human feelings and opinions with related events like tweets, posts, and status updates. It then becomes difficult to identify and classify the emotions from the tweets due to their restricted word length and data diversity. In contrast, emotion analysis identifies and classifies different emotions based on the text data generated from social media platforms. The underlying work anticipates an efficient category and prediction technique for analyzing different emotions from textual data collected from Twitter. The proposed research work deliberates an enhanced deep neural network (EDNN) based hierarchical Bi-LSTM model for emotion analysis from textual data; that classifies the six emotions mainly sadness, love, joy, surprise, fear, and anger. Furthermore, the emotion analysis result obtained by the proposed hierarchical Bi-LSTM model is being compared and validated with the traditional hybrid CNN-LSTM approach regarding the accuracy, recall, precision, and F1-Score. It can be observed from the results that the proposed hierarchical Bi-LSTM achieves an average accuracy of 89% for emotion analysis, whereas the existing CNN-LSTM model achieved an overall accuracy of 75%. This result shows that the proposed hierarchical Bi-LSTM approach achieves desired performance compared to the CNN-LSTM model.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2022, 70, 3; art. no. e141001
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-6 z 6

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