Modelling Ships Main and Auxiliary Engine Powers with Regression-Based Machine Learning Algorithms

Okumuş, Fatih; Ekmekçioğlu, Araks; Kara, Selin Soner

doi:10.2478/pomr-2021-0008

Cited by 15 publications

(11 citation statements)

References 18 publications

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“…When the camera captures an image, the interference is caused by reasons such as the noise in the process of CMOS/CCD sensor converting optical signal to digital signal, errors generated by the system during the acquisition of images, smear from objects moving at high speed, camera pose shakes, and flickering lights in the environment, which may cause the output of the vision system to shake when the algorithm is the same [14]. erefore, it is necessary to reduce the influence of noise errors, eliminate invalid error information, and restore useful image details in the image.…”

Section: Image Preprocessingmentioning

confidence: 99%

Tennis Video Target Tracking Based on Mobile Network Communication and Machine Learning Algorithm

Meng

2022

International Transactions on Electrical Energy Systems

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The application of information technology has realized the transformation of people’s production and lifestyle and also promoted the development of the sports industry. At present, the application of informatization in the field of sports is becoming more and more powerful. By using the advanced methods and technologies of its information display, this paper aimed to realize the research on the tracking of tennis sports video objects in the mobile network environment. It is helpful to analyze and solve the objectivity problems such as most of the loopholes in the single research and traditional methods of tennis video target tracking research. By drawing on the principles and rules of machine learning algorithms, the tennis video target tracking research is carried out, and the informatization and dataization of tennis are realized. In the experiment of the target tracking algorithm, 12 tracking videos have higher tracking accuracy than other parameters. The overall tracking accuracy of the video sequence under grayscale feature was 0.694; the tracking accuracy was the highest, but the tracking speed was the lowest compared to other parameters in the experiment. Therefore, it is very important to study the target tracking of tennis sports in the tennis field.

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Section: Image Preprocessingmentioning

confidence: 99%

Tennis Video Target Tracking Based on Mobile Network Communication and Machine Learning Algorithm

Meng

2022

International Transactions on Electrical Energy Systems

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“…Okumu et al used machine learning methods to predict the power of main and auxiliary engines used in the numerical calculation of ship emissions, which provided data for researchers engaged in emissions calculations. Studies have shown that the gradient lifter regression algorithm provides a more accurate solution than other algorithms used in the study to estimate the main and auxiliary engine power of ships [7]. Liu et al used four representative machine learning methods to construct the Xulong landslide susceptibility map gully.…”

Section: Introductionmentioning

confidence: 99%

Special Physical Characteristic and Training Strategy of Badminton Based on Machine Learning Algorithm

Guan

Bai

2022

International Transactions on Electrical Energy Systems

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Machine learning algorithms involve many fields such as statistics and probability theory. It is mainly aimed at computer simulation or execution of human learning behaviors to acquire new knowledge and skills. And the existing knowledge is to be integrated and then continue to be improved. This study aims to introduce a machine learning algorithm to establish a corresponding training effect evaluation model, to use the model to research and analyze the special physical fitness training strategy of badminton, and to discuss the appropriate badminton physical fitness training method. At the same time, the Markov model is used to compare the effect of the machine learning algorithm model. The experimental results show that the combination of four kinds of training of phosphate energy supply capacity, speed, sensitivity, and core strength can improve the training performance of badminton players by 10 points and the training efficiency by 4%. Therefore, it is necessary to comprehensively and reasonably arrange the four physical training methods to achieve better training effects. The average evaluation and prediction accuracies of the machine learning algorithm model were 86% and 87%, respectively, and the computing time was 26.7 ms and 13.6 ms. The average evaluation and prediction accuracies of the Markov model were 79% and 82%, respectively, and the computing time was 19.5 ms and 11.8 ms. It can be seen that the model based on the machine learning algorithm is more accurate than the Markov model.

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“…During the pre-parametric design process of new ships, Turkish scientists, Okumuş at al. [16] proposed mathematical relationships (gradient boosting machine (GBM) regression algorithm) that can be used to estimate the power of the engines, emissions with prediction opportunities of the main engine and auxiliary engine power used to build "green" ships.…”

Section: The European Green Dealmentioning

confidence: 99%

Future Sustainable Maritime Sector: Fishing Carriers and their Adoption to the Environmental Regulations. Part I

Yalama

Yakovleva

Трандафілов

et al. 2022

Polish Maritime Research

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The study explored the legislative database for the maritime sector to be sustainable and have an intact blue economy. The problem for organizations with shipowners that have fishing boats older than 20 years is stated. Decision-making authorities face challenges nowadays. To be in the fleet for the next decade, shipowners for their ships should deploy energy efficiency projects for marine system retrofitting to improve energy efficiency and meet environmental regulations. The Ship Energy Efficiency Management Plan’s development principles are discussed due to the current need for its deployment from 2021, so shipowners can contribute to the fast adoption of new regulations by the International Maritime Organization. In this work it is being offered to incorporate energy management issues with guidelines for upcoming regulations as well as those that are currently enforced. To improve energy efficiency, reduce environmental impact and cut fuel consumption costs, marine system retrofitting has been proposed. In this paper the focus is being put on studying energy management strengths and weaknesses which can lead to a qualitative understanding of the performance of the organizational structure, this work also focuses on the management settings concerning energy efficiency. If the organization wants to win by integrating energy policy, high-quality communication or promotion of energy efficiency issues should be employed. Marine plastic debris challenges fishing carriers on the African Union route. A possible beneficial solution for shipowners is discussed in this study.

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Modelling Ships Main and Auxiliary Engine Powers with Regression-Based Machine Learning Algorithms

Cited by 15 publications

References 18 publications

Tennis Video Target Tracking Based on Mobile Network Communication and Machine Learning Algorithm

Tennis Video Target Tracking Based on Mobile Network Communication and Machine Learning Algorithm

Special Physical Characteristic and Training Strategy of Badminton Based on Machine Learning Algorithm

Future Sustainable Maritime Sector: Fishing Carriers and their Adoption to the Environmental Regulations. Part I

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