Database.use.hdl: https://hdl.handle.net/20.500.14172/20326
Now showing 1 - 10 of 231
  • 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).
      8Scopus© SNIP 0.364
  • 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.
      7  1Scopus© SNIP 0.559
  • 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.
      12Scopus© 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.
      3Scopus© Citations 2
  • 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. Les Ulis : EDP Sciences, 2021, vol. 226, art. no. 00019., p. 1-6
    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 1Scopus© SNIP 0.364
  • conference paper;
    Zambom-Ferraresi, Fabiola
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    García-Hermoso, Antonio
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    Ramírez-Vélez, Robinson
    Medicine and science in sports and exercise. Philadelphia : Lippincott Williams & Wilkins, 2021, vol. 53, iss. 8S., p. 472
    WOS© IF 6.289WOS© AIF 3.917Scopus© SNIP 1.771
  • 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. Les Ulis : EDP Sciences, 2021, vol. 226, art. no. 00011., p. 1-12
    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© SNIP 0.364
  • 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. Les Ulis : EDP Sciences, 2021, vol. 226, art. no. 00012., p. 1-10
    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 4Scopus© SNIP 0.364
  • conference paper; ; ; ; ;
    2021 29th Telecommunications Forum (TELFOR) : proceedings of papers : online event, Belgrade, Serbia, November, 23-24, 2021. Piscataway : IEEE, 2021. ISBN 9781665425865., p. 1-4
    This paper describes the design and implementation of an IoT sensor infrastructure to detect and prevent biological auto-ignition in closed environments - the shipping containers. The purpose of these IoT systems is to detect the safety and security threats in due time. The system monitors the values of humidity and temperature of agricultural material inside a closed environment. We present a complete eco-system of IoT infrastructure from the end probe to the web application. The implemented algorithms monitor and warn the responsible persons against the risky conditions of the stored agricultural product. The aim is to reduce the fire’s probability and provide a more precise overview of stored agricultural crops’ quality to reduce overall risks for the transport chain.
      3Scopus© Citations 3
  • conference paper; ; ; ; ;
    VEHITS 2020 : proceedings of the 6th international conference on Vehicle Technology and Intelligent Transport Systems : May 2-4, 2020. Vol. 1. Setúbal : SciTePress, 2020. ISBN 9789897584190., p. 63-67
    This paper presents the initial research findings from the Klaipeda port monitoring action related to Blue economy development initiative in the Baltic Sea. Use case study demonstrates the possibility to address the problem of information system deployment in harsh industrial environment to gather valuable statistical knowledge. Custom made monitoring and data transmission units were developed to utilize the best practice of engineering to solve real problems of Klaipeda Port. Several key operations and parameters were monitored during the research, including containers spreader movements, physical characteristics of the cables, metal constructions. Initial results suggested that crane operators’ involvement in the control of the cargo movement produced incorrect control patterns (joystick movements) that delayed port operations. Each control movement of the joystick needs to have a direct real-time feedback from the spreader (actual movement of the cargo). Feedback control functiona lity will allow adjusting the spreader movement according to the operator and will decrease the cargo transportation time during constant breaks.
      6Scopus© Citations 3