<abstract xmlns="http://www.w3.org/1999/xhtml">

The presence of an outlier at the starting point of a univariate time series negatively influences the forecasting accuracy. The starting outlier is effectively removed only by making it equal to the second time point value. The forecasting accuracy is significantly improved after the removal. The favorable impact of the starting outlier removal on the time series forecasting accuracy is strong. It is the least favorable for time series with exponential rising. In the worst case of a time series, on average only 7 % to 11 % forecasts after the starting outlier removal are worse than they would be without the removal.
</abstract>

Impact of Starting Outlier Removal on Accuracy of Time Series Forecasting

<abstract xmlns="http://www.w3.org/1999/xhtml">

The article presents a simulation of a ship running aground. It introduces the analytical description, as well as the methodology of carrying out strength calculations when creating engineering tasks related to the topic. It shows the state of stresses and deformations of the hull of a modern minehunter after a collision with the bottom for two immersion depths. Research and development opportunities for future considerations are highlighted in the conclusions.
</abstract>

Mechanical and Electrical Engineering Department

The Analysis of the Strength of the Ship’s Hull After Running Aground

<abstract xmlns="http://www.w3.org/1999/xhtml">

A fast-and-flexible method of ARIMA model optimal selection is suggested for univariate time series forecasting. The method allows obtaining as-highly-accurate-as-possible forecasts automatically. It is based on effectively finding lags by the autocorrelation function of a detrended time series, where the best-fitting polynomial trend is subtracted from the time series. The forecasting quality criteria are the root-mean-square error (RMSE) and the maximum absolute error (MaxAE) allowing to register information about the average inaccuracy and worst outlier. Thus, the ARIMA model optimal selection is performed by simultaneously minimizing RMSE and Max-AE, whereupon the minimum defines the best model. Otherwise, if the minimum does not exist, a combination of minimal-RMSE and minimal-MaxAE ARIMA models is used.
</abstract>

Arima Model Optimal Selection for Time Series Forecasting

<abstract xmlns="http://www.w3.org/1999/xhtml">

The continuous development of autonomous and unmanned technology is accelerating the adoption of unmanned vessels for various maritime operations. Despite the technological developments there is still a lack of clear regulatory and organizational frameworks for testing and exploiting the potential of unmanned surface vessels (USVs) in real-world maritime conditions. Such real-world testing becomes ever more complex when operating in multiple nations territorial waters. In May 2019 USV ‘Maxlimer’ crossed the North Sea from the United Kingdom to Belgium and back, carrying goods, to demonstrate the ability of unmanned surface vessels to interact with real marine traffic in an uncontrolled environment. The paper presents this mission in light of the current state of marine autonomy projects as well as the regulatory works conducted by various organizations worldwide.
</abstract>

The Assessment of Unmanned Vessel Operation in Heavy Traffic Areas. Case Study of the North Sea Crossing by Unmanned Surface Vessel Sea-Kit

<abstract xmlns="http://www.w3.org/1999/xhtml">

In the paper review of unmanned underwater vehicle (AUV) is presented. The description of main systems is depicted with focus on autonomous single vehicle as well as a swarm. As a consequence of development of AUV technology, research centers are focused on issues related to increasing the degree of their autonomy. Nowadays, mostly navigation and communication as well as high-efficient propeller systems are being developed. There are problems linking this issues. Their solutions includes development of new control laws containing algorithms to prevent collisions - for unmanned vehicles with elements of the underwater environment and for several underwater vehicles cooperating with each other in a swarm.
</abstract>

Directions of Development of the Autonomous Unmanned Underwater Vehicles. A Review

AHEAD OF PRINT

Volume 224 (2022): Issue 1 (March 2022)

Volume 223 (2020): Issue 4 (December 2020)

Volume 222 (2020): Issue 3 (September 2020)

Volume 220-221 (2020): Issue 1-2 (June 2020)

Volume 219 (2019): Issue 4 (December 2019)

Volume 218 (2019): Issue 3 (September 2019)

Volume 217 (2019): Issue 2 (June 2019)

Volume 216 (2019): Issue 1 (March 2019)

Volume 215 (2018): Issue 4 (December 2018)

Volume 214 (2018): Issue 3 (September 2018)

Volume 213 (2018): Issue 2 (June 2018)

Volume 212 (2018): Issue 1 (March 2018)

Volume 211 (2017): Issue 4 (December 2017)

Volume 210 (2017): Issue 3 (September 2017)

Volume 209 (2017): Issue 2 (June 2017)

Volume 208 (2017): Issue 1 (March 2017)

Volume 207 (2016): Issue 4 (December 2016)

Volume 206 (2016): Issue 3 (September 2016)

Volume 205 (2016): Issue 2 (June 2016)

Volume 204 (2016): Issue 1 (March 2016)

Maritime Technical Journal

 Scientific Journal of Polish Naval Academy has been published since 1959 (in electronic version since 2004). Every year four volumes are published. In this Journal Authors publish their original and previously unpublished scientific articles in the area of technical sciences in English. All the articles contain Polish summaries and key words. All the articles are reviewed by two reviewers. The list of reviewers is published once a year. The Journal has online and printed versions. Why subscribe and read  In the Journal one can find original scientific articles from technical fields, mainly Mechanical Engineering, Electrical Engineering, Geodesy and Cartography. ‘Scientific Journal of Polish Naval Academy’ is an excellent platform for exchanging knowledge and experiences for scientists and experts. Each new issue of the Journal contains articles which present high quality research results of Polish specialists and is an excellent source of professional knowledge for the recipients.  Why submit  Our Journal offers review procedure and short deadlines between sending of the article and approval for publication. All articles are available in Open Access.  The journal has no article processing charges (APCs) and submission processing charges.  Archiving  Sciendo archives the contents of this journal in Portico - digital long-term preservation service of scholarly books, journals and collections.  Plagiarism Policy  The editorial board is participating in a growing community of Similarity Check System's users in order to ensure that the content published is original and trustworthy. Similarity Check is a medium that allows for comprehensive manuscripts screening, aimed to eliminate plagiarism and provide a high standard and quality peer-review process. 