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Analiza działalności przedsiębiorstwa działającego na rynku usług przewozów intermodalnych w latach 2013-2017

Antczak Joanna, Ligaj Magda

Gospodarka Materiałowa i Logistyka

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2019

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nr 10

78--91, CD

PL

Celem artykułu było przedstawienie analizy działalności przedsiębiorstwa z branży przewozów intermodalnych w latach 2013-2017.Artykuł w swojej treści zawiera kolejno: istotę transportu, rodzaje technik przeładunkowych jak również porusza kwestie związane z technologiami przewozowymi w intermodalnym transporcie towarowym. Następnie w celu analizy rzeczywistej sytuacji rynkowej, analizie poddano przedsiębiorstwo świadczące usługi intermodalne, zlokalizowane w Polsce, PCC Intermodal S.A. Na podstawie przeprowadzonej analizy wyciągnięto wnioski.

EN

The aim of the article was to presentananalysis of the enterpriseactivity from the intermodal transport industry in 2013-2017. The articlecontains in itscontent: the essence of transport, types of reloadingtechniques, as well as issuesrelated to transport technologies in intermodalfreight transport. Then, in order to analyze the actual market situation, the companyprovidingintermodal services located in Poland, PCC Intermodal S.A. Based on the analysis, I drew conclusions.

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Ecological Evaluation of Sustainable Development in the Studied Farms of Przysucha County

Niewęgłowski M., Gugała M., Włodarczyk B., Sikorska A.

Journal of Ecological Engineering

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2018

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Vol. 19, nr 6

146--152

EN

The subject of the research involved the agricultural farms from the Przysucha county (Masovian Voivodeship, Poland). The assessment of ecological results from farms was the purpose of the thesis. Evaluation was made by using selected indicators: minerals balance, soil's organic substances balance and vegetation cover of soil's index. The research was carried out among 100 chosen agricultural farms, situated on light soil, i.e. rye soil. The ecological assessment of the examined farms showed that all of minerals balances (N, P, K) and soil's organic substances balances were positive. In the case of nitrogen, balances exceeded the limit value 30 kg N·ha-1. Vegetation cover of soil's index, as regards arable land, did not reach the recommended value, i.e. at least 60%. However, the cover of utilised agricultural area soil was similar to the recommended level (>70%). That was because of the large orchards and permanent crops share in horticultural farms, as well as large permanent grassland share in bovine and mixed farms.

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Optimization of the impact multi-mass vibration absorbers

Kernytskyy I., Diveyev B., Horbaj O., Hlobchak M., Kopytko M., Zachek O.

Przegląd Naukowy Inżynieria i Kształtowanie Środowiska

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2017

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Vol. 26, No. 3

394--400

EN

The problem of attaching dynamic vibration absorber (DVA) to a discrete multi-degree-of-freedom or continuous structure has been outlined in many papers and monographs. An impact damping system can overcome some limitations by impact as the damping medium and impact mass interaction as the damping mechanism. The paper contemplates the provision of DVA with the several of the impact masses. Such originally designed absorbers reduce vibration selectively in maximum vibration mode without introducing vibration in other modes. An impact damper is a passive control device which takes the form of a freely moving mass, constrained by stops attached to the structure under control, i.e. the primary structure. The damping results from the exchange of momentum during impacts between the mass and the stops as the structure vibrates. The paper contemplates the provision of the impact multi-mass DVA’s with masses collisions for additional damping. For some cases of DVA optimization such a design seems more effective than conventional multi-mass DVA with independent mass moving. A technique is developed to give the optimal DVA’s for the elimination of excessive vibration in harmonic stochastic and impact loaded systems.

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Using statistical analyses to assess landslide hazard

Tornyai R., Luchava M.

Geology, Geophysics and Environment

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2015

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Vol. 41, no. 1

144--145

EN

The study was realized in the Western Carpathians, in north part of Slovakia. The main objective is to assess landslide hazard in the region, using a quantitative evaluation and compare the results between used methods. Besides the studies to improve investigation techniques and mitigative measures, there has been a constant development of quantitative methods to assess the probability of future landslide occurrence. These methods can be divided into two main distinct categories: the deterministic and the statistical methods. For assessment three statistical analyses had been applied: bivariate using the weights of input parameters, multivariate conditional analysis and artificial neural networks. The methodology of landslide hazard assessment using statistical methods in a GIS environment is based on an appropriate choice of the factors affecting the stability of slopes. Statistical processing of landslide hazard assessment is based on the geological principle of phenomena and processes that is true, that landslides will occur in places where they occurred in the past respectively in present because of similar activation conditions (Bednarik et al. 2005). In the study four input parameters are evaluated which entered to statistical processing in the form of parametric maps. Statistical evaluation was executed in ArcGIS and Matlab environment. The outputs of this study are three prognostic landslide hazard maps. Applying bivariate statistical analysis was founded that the most favorable conditions for the development of slope deformation create the combination of slope sediments, south-oriented with slope angle from 11° to 17° in areas where land is used as a transitional woodland-shrub. For bivariate analysis the biggest problem is the determination of weights of individual parameters. In evaluation process is therefore necessary the subjective interference in the automation process and correction of the calculated weight value. This intervention is not required in the case of multivariate method. The advantage of this method is that the researcher can confirm the importance of each factor, but this requires considerable experiences and knowledge of the researcher and not only in the field of engineering geology. Applying multivariate conditional analysis few possible combinations of input parameters with a 100% probability of slope failures was identified. As an example is provided a combination of 4.5.2.17, which represents the combination of slope sediments in the natural grasslands area with slope angle from 7° to 11° oriented to the North. The advantage of multivariate statistical analysis is that the method primarily works with more data and also indirectly allows to take into account interactions between the input parameters. Another advantage is the lower technical and time complexity of the computer operations. For artificial neural network, a suitable combination of the conditions for landslides occurrence represents flysch sediments in the area of pastures, northwest oriented with slope from 9° to 15°. The artificial neural network (NN) has many advantages compared with bivariate and multivariate statistical analysis. The artificial neural network method is independent of the statistical distribution of the data and there is no need of specific statistical variables. Compared with the statistical 145 methods, neural networks allow the target classes to be defined with much consideration to their distribution in the corresponding domain of each data source (Lee et al. 2004). The disadvantage is the high technical and time complexity of the computer operations. To verify the degree of success of created prognostic landslide hazard maps receiver operating characteristic (ROC) curves were used. The most important parameter is the area under curve (AUC). The size of the AUC determines the overall quality of predictive models. The maximum area of graph is 1 (ideal model, success rate is 100%), the area of model with a success rate of 50% has AUC = 0.5 (trivial model). The closer the area to the value 1 is, the more accurate the model is (Bednarik et al. 2010). Using bivariate statistical analysis the AUC is 0.852, for multivariate 0.919 and using NN the result is 0.924. The results shows that bigger degree of success has the prognostic landslide hazard map created using NN and it is equal to 92.4%.

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Aktualne problemy osuszania i remontów zalanych i zawilgoconych budynków

Adamowski J., Matkowski Z.

Materiały Budowlane

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2013

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nr 3

2--7

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Problematyka dokładności określania wartości nieruchomości w operatch szacunkowych

Cholewa M.

Acta Scientiarum Polonorum. Geodesia et Descriptio Terrarum

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2003

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Vol. 2, nr 1-2

15-21

PL

Dokładność określania wartości nieruchomości w operatach szacunkowych to temat oparty nie tylko na zagadnieniach ściśle związanych z wyceną i szacowaniem wartości nieruchomości oraz regułach sporządzania operatu, zawartych w Standardach zawodowych rzeczoznawców majątkowych, ustawach, rozporządzeniach itp., ale także w innych dziedzinach nauki, jak: matematyka czy psychologia. Nie wszystko da się bowiem zmieścić w jednym sformułowaniu czy schemacie. Wiele czynników ma wpływ na wycenę, żeby była dokładna, rzetelna, przeprowadzona w sposób zrozumiały dla właściciela nieruchomości, sprawiedliwa, a zarazem nieoparta na krzywdzie ludzkiej i zgodna z obowiązującym prawem.

EN

Accuracy of stating the valuation of real estate to the estimated documents, is a subject not only based on issues precisely related to pricing and estimation of property value as well as the regulations concerning the preparation of documents included in the professional standards for property experts and low regulations but also in different scientific fields like: mathematics or psychology. It is rather difficult to embrace such a subjest in one phrase or scheme. Several factors influence the evaluation of property to be a precise, honest, proceeds in the understandable way for the property owner, fair and related to the obligatory regulations.