Database.use.hdl: https://hdl.handle.net/20.500.14172/20326
Now showing 1 - 10 of 256
  • conference paper
    Čelutkienė, Jelena
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    Janužytė, L.
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    Čerlinskaitė-Bajorė, Kamilė
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    Platukis, T.
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    Barcienė, D.
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    Dambrauskaitė, Aušra
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    Jurgaitytė, Julija
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    Šauklienė, Renata
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    European heart journal
      9WOS© IF 39.3WOS© AIF 5.2Scopus© SNIP 6.755
  • conference paper
    Fabbretto, A.
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    Pellegrino, A.
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    Giardino, C.
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    Bresciani, M.
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    Alikas, K.
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    Braga, F.
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    Lima, T.M.A.D.
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    Mangano, S.
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    Ghirardi, N.
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    Daraio, M.G.
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    Brando, V.E.
    IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium : proceedings : 16-21 July, 2023, Pasadena, California, USA
    Climate change is having a significant negative impact on freshwater systems, which provide multiple ecosystem services. In this context, the present study aims to show an overview of the main objectives achieved by exploiting the hyperspectral reflectance data provided by the PRISMA sensor to map aquatic ecosystems. Water quality products were generated using three different approaches: the bio-optical model BOMBER, adaptive semi-empirical algorithms, and machine learning models. These methods were tested in very different waterbodies worldwide: five lakes, two lagoons and one river. To assess the accuracy of the water quality products, comparisons were performed with reference measurements. The results showed an average R 2 = 0.70 and encourage using PRISMA data for aquatic applications in synergy with existing multispectral and future hyperspectral data.
      7
  • conference paper
    Štraupaitė, Samanta
    IOP conference series: Earth and environmental science : 8th Conference of the Sustainable Solutions for Energy and Environment EENVIRO 2022 : 16/10/2022 - 21/10/2022 Bucharest, Romania
    The idea of sustainable development at the global level occupies one of the most important places. The Earth can manage itself and maintain all biological diversity, adhere to democracy, equality, take into account human rights, freedom and equal opportunities. Since climate change poses an increasing risk to human health and safety, the development of public ecological awareness becomes extremely important. The fact that the problem of climate change is increasing and confirmed by increasing emissions of greenhouse gases, rising sea levels, longer droughts, stronger and more frequent storms, melting ice sheets, larger and more frequent fires. Advances in technology such as smartphones, streaming, social media, and touch screens have affected teenagers’ connection to nature. Being interested in the ecological citizenship of older teenagers raises the question, why and how can the younger generation contribute to the solution of ecological problems? Whether there are educational models that can help strengthen young people’s beliefs and abilities to solve climate change problems. In this article will be reviewed the literature from the aspect of ecological culture education, ecological position as the goal of education, the concept of ecological citizenship, its education and suggestions.
      1Scopus© SNIP 0.255
  • conference paper
    Hariyadi, Hariyadi
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    Aris Winaya
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    Muhammad Zainuri
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    Norma, Afiati
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    Sya’rani, Lachmudin
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    E3S web of conferences: 3rd International Conference on Natural Resources and Life Sciences (NRLS) 2020 : virtual, September 23-24, 2020
    The objective of the study was to determine the growth pattern of clam Potamocorbula faba inhabited the estuarine of Permisan Bay, Indonesia by using the Linear Allometric Model (LAM). Its also evaluated by using the length-weight relationships (LWR) and Fulton’s condition factor (K–value). A total of 7 996 specimens with length intervals of 3.5 mm to 17 mm and weight intervals of 0.013 g to 0.636 g were collected from nine sites in Permisan Bay. Based on the length-weight relationships (LWR), equations in ST–1 (0.000886870 L2.17379); ST–2 (0.000884219 L2.15471); ST–3 (0.000832626 L2.18971); ST–4 (0.000746758 L2.21150); ST–5 (0.000687148 L2.28593); ST–6 (0.000765876 L2.23830); ST–7 (0.000657461 L2.31064); ST–8 (0.000379673 L2.52229); and ST–9 (0.000799816 L 2.22922) were obtained. Regarding the b–value, almost all sites showed b < 3, and thus the growth pattern could be categorized as negative allometric. Condition factor (K-value) in all nine sites ranged between 1.1101 to 1.1552. The highest K-value was from ST–7 while ST–2 showed the lowest. During the study period (September 2014 to April 2015), Fulton’s condition factor (K–value) of all nine sites was not significantly different (P > 0.05).
      16Scopus© SNIP 0.213
  • conference paper
    Ikenna-Uzodike, Chiamaka Emilia
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    Janin, Yin Jin
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    Wen, Wei
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    Rivera-Diaz-del-Castillo, Pedro E.J.
    Procedia structural integrity: 23 European Conference on Fracture – ECF23
    Some industrial applications require properties of materials to be determined to evaluate components’ safety in the event of loading and impact. Understanding the behaviour of materials subjected to extreme dynamic loading will aid in enhancing their design. This work is based on developing methods to appraise high loading rate measurements. Different approaches to quantify material properties such as finite element method (FEM), instrumented Charpy testing, and impact testing using servo-hydraulic testing ma- chines are included. Testing is performed at various loading rates, extending existing quasi-static fracture toughness determination to higher loading rates, and accounting for strain-rate dependent properties. The high loading rate servo-hydraulic test machine lo- cated at TWI, Cambridge has the capacity to test up to a displacement rate of 20 m/s. The force, displacement, and time parameters are captured by Digital Image Correlation (DIC), which improves the accuracy of the results obtained from experiments. More- over, the underlying plasticity theory to capture the influence of the strain rate is presented, along with damage constants for FEM calculations adopting the Johnson-Cook model. In addition to the Johnson-Cook approach, analytical solutions using dislocation evolution theory were applied which features the effects of phonon drag and dynamic recovery coefficient in body-centered cubic materials of which X65 grade steel was applied. Also, a deep learning framework was built to predict the tensile curves when given specific test conditions and sample specifications. It was found that high strain rate tests lead to local change at the crack tip which increases plasticity and reduces fracture toughness with single-edged notched three-point bend specimen. The yield strength of the material increased with loading rates during tensile testing leading to a ductile to brittle transition of metals. These strategies were used to establish a revised approach for high strain rate testing and predicting stress-strain curves with a machine learning algorithm.
      14  1Scopus© SNIP 0.461
  • conference paper; ; ; ; ; ; ;
    Purlaura, Zane
    2021 62nd international scientific conference on information technology and management science of Riga Technical University (ITMS) : proceedings : October 14-15, 2021, Riga, Latvia
    This paper aims to analyze the operations performed at the container terminal and to propose a new digital twin (DT)-based framework increasing the level of safety and security. This paper discusses the physical space as well as demonstrates the capabilities of the virtual framework from the cyber-physical security point of view. The main contribution of this paper is the demonstration of the dynamics of both, the physical and the virtual systems from a qualitative perspective.
      14Scopus© Citations 2
  • conference paper;
    Treigys, Povilas
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    Information and software technologies : 27th international conference, ICIST 2021, Kaunas, Lithuania, October 14-16, 2021 : proceedings
    Modern deep learning algorithms are able to handle large amounts of data and therefore are particularly important in automating vessel movement prediction in intensive shipping. This could be one of the support tools for monitoring, managing the increasing maritime traffic and its participants. Applying deep learning algorithm, a recurrent networks is created that is able to predict the further vessel movement. The developed architectural model is based on sequences when data change over time, therefore the article investigates the most optimal recurrent network structure and network hyper-parameters, which aim to obtain the most accurate prediction results. Different recurrent network architectures were used to compare the results those are: fully-connected (simple) recurrent neural network, basic (vanilla), bidirectional, stacked Long Short-Term Memory network, autoencoder, and gated recurrent unit. The accuracy of the predictions for each architecture is monitored by varying the number of cells size in the hidden layer. The research was performed on a specific sample of data from the Netherlands (North Sea) coastal region and the proposed algorithm can be applied as one of the ways to improve maritime safety. The research showed that the most accurate prediction of the vessel trajectory prediction is achieved with the bidirectional Long Short-Term Memory network architecture in which the variance is less shifting even with the smallest cell selection, and autoenoder network architecture which depends on the choice of the appropriate cell size, because distribution range increasing in 100 and 150 cells.
      6Scopus© Citations 3
  • conference paper
    Faturachman, Danny
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    Yandri, Erkata
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    Tri Pujiastuti, Endang
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    Hendroko Setyobudi, Roy
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    Yani, Yahya
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    Susanto, Herry
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    Purba, Washington
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    Krido Wahono, Satriyo
    E3S web of conferences : 1st International Conference on Bioenergy and Environmentally Sustainable Agriculture Technology (ICoN BEAT 2019) : Malang, East Java, Indonesia, November 7-8, 2019
    The purpose of this study is to perform the techno-economic analysis of photovoltaic system utilization for lighting and cooling of Ferry Ro/Ro 500 GT. The world is facing a dilemma of increasing dependence on fossil energy with decreasing supply. This situation must be anticipated by all sectors by energy efficiency (EE) and utilizing renewable energy (RE). Especially for RE in the transportation sector, ships as consumers of oil energy can also take advantage of solar energy sources, for example for lighting and cooling. For that purpose, five steps must be taken. First, determine the design specifications. Second, determine the specifications of components of the PV system. Third, calculate the power required for lighting equipment. Fourth, calculate the power required for the cooling system. Fifth, make an investment comparison for propulsion systems between diesel engines and photovoltaic systems. The results show that the energy required for lighting and cooling system as well as for propulsion systems can be placed in the deck area of 148.8 m2 for all system components, such as; PV modules, charge controllers, batteries, and inverter. This study can provide an overview of the use of PV system in designing the environmentally new or renovation ships.
    Scopus© Citations 4  2Scopus© SNIP 0.364
  • conference paper
    Anam, Choirul
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    Harini, Noor
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    Damat, Damat
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    Wahyudi, Ahmad
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    Witono, Yuli
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    Kuswardhani, Nita
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    Shony Azar, Moh.Azus
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    Rachmawati, Diana
    E3S web of conferences: 1st International Conference on Bioenergy and Environmentally Sustainable Agriculture Technology (ICoN BEAT 2019) : Malang, East Java, Indonesia, November 7-8, 2019
    The purpose of this study was to determine the potential of low commercial value fish species in Lamongan Regency, East Java, Indonesia. The processed data included primary and secondary data. Data were processed using the LQ method and analyzed descriptively by way of compiling data into tables. The survey results showed that there are ten types of low commercial value fish in Lamongan Regency, East Java, Indonesia, namely Sardinella fimbriata (Tembang fish), Leiognathus bindus (Peperek fish), Harpadon nehereus (Puso fish), Sardinella lemuru, (Lemuru fish), Saurida tumbil (Beloso fish), Gerres abbreviatus (Kapasan fish), Anodontostoma chacunda (Juwi fish), and Cynoglossus lingua (Lidah fish). The results of the LQ method showe that there are three types of fish that have the potential to be made of high economic value products, namely L. bindus (11.36), A. chacunda (2.35), and S. fimbriata (2.32). Fish Auction (TPI) that has the potential in terms of fish productivity to be developed is TPI Weru, Lamongan, East Java, Indonesia. The typology of fishermen in TPI Weru has less experience working as a fisherman than other TPI but the level of education is higher and the age of fishermen is younger so that it affects the productivity of fish catches.
    Scopus© Citations 1  2Scopus© SNIP 0.364
  • conference paper
    Rosyidi, Hamdi
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    Tarik Ibrahim, Jabal
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    Sutawi, Sutawi
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    Rachmawati, Diana
    E3S web of conferences : 1st International Conference on Bioenergy and Environmentally Sustainable Agriculture Technology (ICoN BEAT 2019) : Malang, East Java, Indonesia, November 7-8, 2019
    This study aimed to examine the factors and the influence of group dynamics and the independence of fishing group members in catch fisheries agribusiness activities. This research was carried out using a survey method in the Rukun Nelayan Blimbing in Paciran District, Lamongan Regency, East Java Province, Indonesia from February to March 2019. The result showed the group dynamics and independence of fishermen in catch fisheries was high, but group dynamics did not influence the independence of fishermen in catching fisheries agribusiness. The factors that influence group dynamics were structuring, coaching and development, atmosphere, effectiveness. The factors affected the independence of the group were the addition of production facilities, prices, market, and fishermen. Those factors are needed to attain the good management in maximum sustainable yield (MSY).
    Scopus© Citations 1  2Scopus© SNIP 0.364