The aim of this article is to present the author’s opinion about possible underwater natural gas pipeline monitoring using Polish Navy resources. Due to the bathymetrical characteristics of the pipeline equatorials the high efficiency and safe for the deck operators systems are expected to support the bottom survey and gas line monitoring. Time and engaged resources reduction are crucial factors in this kind of mission together with high probability of possible dangerous objects detection. The paper describes main threats for the underwater transportation line as a state energetic independence vital object (supplies diversification). An example of a threat caused by lost unmanned platform technologies near Nord Stream was presented and analyzed as well. The rapid development of unmanned maritime technologies (aerial, surface and subsurface) observed in the last decade creates new possibilities in maritime security/surveillance applications. The Polish mine counter measures assets which were equipped with sophisticated AUV’s as a part of the Polish Navy modernization process (new minehunters Kormoran IInd class deployable). The presented autonomous underwater vehicles (AUV) are equipped with advanced sonars and create new possibilities in the issue of effective threats detection/classification/ identification and neutralization. The main advantages of such solutions were pointed in the article with the crucial one based on time reduction as well as human – deck operators threats constraints. The first successes in the operational use of unmanned systems were reached during the military exercises (historical ordnance disposal) conducted on historical mine laying areas. This creates good possibilities to train the unmanned system operators in live objects activity which improves skills and knowledge. Moreover, the double use applications of unmanned technologies both in defense and maritime security has been observed.
The natural gas supply is used from Russia Federation as a political instrument in the geopolitical and territorial conflict with Ukraine. The effectiveness of Russian strategy towards Ukraine is due to the fact that power in Kiev is also exercised by the pro-Russian politicians and supported on the part of Ukrainian oligarchs. The two countries are interdependent in terms of energy by means of the existing gas infrastructure and long-term contracts, because Ukraine guarantees the Russian Federation the transit of natural gas to Europe through its system of transmission gas pipelines, and Russia pays for the transit and used to supply the agreed amount of gas to Ukraine. For the first time – in 2016 – Ukraine didn’t import natural gas directly from the Russia Federation. This article attempts to obtain an answer to the research question, whether Ukraine actually strives to diversify its natural gas supply. What part of this policy is the Ukrainian political instrument in terms of Russia, and what part is the real political objective? Especially in the context of the gas contract between both States, ending in 2019. What role will be played the underground gas storage in the geopolitical struggle? Despite Nord Stream II the Russian Federation still needs the Ukrainian pipelines to fulfill contractual obligations in gas supplies to Europe. What are the strategic goals of the energy policy of Ukraine and Russia? The geopolitical as well as geo-economic theories will be applied. Moreover, a factor analysis as well as a decision-making analysis will be used. The political analysis method and the forecasting technique are applied to obtain, not only theoretical, but also practical input.
The work presented in the paper concerns a very important problem of searching for string alignments. The authors show that the problem of a genome pattern alignment could be interpreted and defined as a measuring task, where the distance between two (or more) patterns is investigated. The problem originates from modern computation biology. Hardware-based implementations have been driving out software solutions in the field recently. The complex programmable devices have become very commonly applied. The paper introduces a new, optimized approach based on the Smith-Waterman dynamic programming algorithm. The original algorithm is modified in order to simplify data-path processing and take advantage of the properties offered by FPGA devices. The results obtained with the proposed methodology allow to reduce the size of the functional block and radically speed up the processing time. This approach is very competitive compared with other related works.
The head loss is a decrease in compressive height caused by friction and direction changes of flow at the sliced bend. This method expected to provide is easy, fast, and economical. The elements of influence are the velocity of flow, the num-ber of slices, average length of sliced walls, angle changes of the sliced, coefficient of friction, acceleration of gravity, and slope of the pipe. Equation for coefficient of head loss (Kb) is an analysis method for the head loss (hL) calculation. The analysis results that have obtained are the larger diameter of the pipe, and the more slices with a fixed discharge, the coefficient of hL becomes small. Conversely, if the diameter of the pipe is getting smaller, and the slice is getting less, then the coefficient of hL becomes bigger. This method, expected to give new knowledge in pipeline network applications, especially for the large diameter of pipelines.
The study aimed to examine the use of Geomagnetic Anomaly Detection (GAD) to locate the buried ferromagnetic pipeline defects without exposing them. However, the accuracy of GAD is limited by the background noise. In the present work, we propose an approximate entropy noise suppression (AENS) method based on Variational Mode Decomposition (VMD) for detection of pipeline defects. The proposed method is capable of reconstructing the magnetic field signals and extracting weak anomaly signals that are submerged in the background noise, which was employed to construct an effective detector of anomalous signals. The internal parameters of VMD were optimized by the Scale–Space algorithm, and their anti-noise performance was compared. The results show that the proposed method can remove the background noise in high-noise background geomagnetic field environments. Experiments were carried out in our laboratory and evaluation results of inspection data were analysed; the feasibility of GAD is validated when used in the application to detection of buried pipeline defects.