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Ensuring a production-ready state of the application under development is the imminent feature of the Continuous Delivery (CD) approach. In a blockchain network, nodes communicate and store data in a distributed manner. Each node executes the same business application but operates in a distinct execution environment. The literature lacks research focusing on continuous practices for blockchain and Distributed Ledger Technology (DLT). Specifically, it lacks such works with support for both design and deployment. The author has proposed a solution that takes into account the continuous delivery of a business application to diverse deployment environments in the DLT network. As a result, two continuous delivery pipelines have been implemented using the Jenkins automation server. The first pipeline prepares a business application whereas the second one generates complete node deployment packages. As a result, the framework ensures the deployment package in the actual version of the business application with the node-specific up-to-date version of deployment configuration files. The Smart Contract Design Pattern has been used when building a business application. The modeling aspect of blockchain network installation has required using Unified Modeling Language (UML) and the UML Profile for Distributed Ledger Deployment. The refined model-to-code transformation generates deployment configurations for nodes. Both the business application and deployment configurations are stored in the GitHub repositories. For the sake of verification, tests have been conducted for the electricity consumption and supply management system designed for prosumers of renewable energy.

The growing interest of companies in integration and interoperability between information systems has caused increase in significance of Service-Oriented Architecture which provides tools for Enterprise Application Integration. In that architecture, Enterprise Service Bus provides technical possibilities of communication between IT systems. A key element in the communication are integration flows. Objective: The aim of this article is to present a new transformation Integration2BPEL, which automates the development of executable integration flow expressed in the Web Services Business Process Execution Language (WS-BPEL) based on the model of the integration flow presented in the Unified Modelling Language (UML) activity diagram. Method: The author proposes a transformation of the type of model-to-code type which generates integration flow expressed in WS-BPEL, which can be executed in any BPEL-compliant process engine. The integration flow is modelled using UML activity diagram with stereotypes from ‘UML Profile for Integration Flows’ profile in an IBM Rational Software Architect (RSA). Using Integration2BPEL transformation a complete, executable integration flow is generated, which is composed of many mediation mechanisms. Generated integration flows have been executed on OpenESB. Results: The ability to generate a complete integration flow in BPEL, which without any additions can be run on enterprise service bus. Implementation phase of an integration flow construction was automated. Each of integration flows is implemented according to the same rules. In addition, it allows to avoid mistakes made by designers and programmers. Conclusions: Model-Driven Development is an approach that leads to the automation of the design and programming phases. Integration2BPEL transformation is a uniform mechanism to design integration flow. Potentially, it also allows to avoid implementation errors. Keywords: Web Services Business Process Execution Language (BPEL), Enterprise Service Bus (ESB), Unified Modelling Language (UML), UML activity diagram, Model-Driven Development (MDD), Transformation. null

The paper explores two aspects of using data which is shared in clouds. First of all, authors present steps of data preprocessing which allow the usage of nearly each data source available in public data sets. Authors give hints in which situations it is recommended using replication and synchronization mechanisms. Furthermore, authors discuss possible ways of publishing own API from middleware tier for client application, mainly REST API, GraphQL and OData. Static REST API gives more control of the way the data is being queried. On the other hand, if you have many different client applications making use of data the GraphQL gives much more flexibility for API usage. OData gives common way query, filter and structure response data but adheres to server domain model. Our findings can be useful by organizations while exposing new data sets for public usage. Moreover, the authors summarize the paper and outline directions for further work.

The paper describes management of project POIS.13.01.00-00-007/12 establishing the Center for Advanced Studies in Systems Engineering (CASE) at Military University of Technology (MUT) in Warsaw, Poland. The project was financed from the European Union program, Infrastructure and Environment Operational Programme 2007–2013, activity 13.1, Infrastructure of higher education. In order to complete the project it was necessary to deal with the following issues: short time of the project, innovation and complexity of implemented solutions, the need for the use of European Union procedures which are much more restrictive than university ones. The article presents a description of the scope of the project. The paper brings risks and project issues that arose during the project. On the other hand, the authors introduces best practices that have proven themselves as risk mitigation strategies or measures taken to solve project issues. Proper requirements specification is one of the most important practices. So, the paper describes the biggest tender intended to build a server room and launch the academic cloud for CASE. The authors recapitulates rules of the successful planning, preparation and conducting of the tender’s procedure. As a result of the tender and consecutive actions the Academic Cloud was implemented at the university. The paper presents three main elements of the Academic Cloud: project cloud, virtual desktops infrastructure and high performance computing solution. Moreover, the authors summarizes the paper and outlines directions for further work.

The paper presents details of the blockchain workshop which was conducted at Polish Naval Academy, Gdynia, Poland in a period of 4 months from February to May 2017. The workshop was incorporated into the Software Engineering subject as a part of regular classes. The paper explores business and technical aspects of blockchain main projects developed under Hyperledger initiative. In the following sections authors focus on: reference architecture, business architecture and technical architecture as well as algorithms used in Hyperledger Fabric, Hyperledger Iroha and Hyperledger SawtoohLake projects. The Hyperledger Fabric blockchain project was chosen for conducting classes. The workshop encompassed blockchain introduction and configuration of simple application in cloud environment. Furthermore, students configured on-premises environment for development of blockchain applications. The last task was the development of complete application combining IBM BlueMix, Watson Internet-of-Things Platform and Blockchain service which monitored position, simulated by Node-Red service, of warship ORP Kosciuszko.

Component-based software development is the successor of object-oriented software development. Authors of the paper extend existing Unified Modeling Language standard to describe containers semantically, automate the process of creating containers and later deploying them to the platform as a service. The paper presents the concept of using Unified Modeling Language (UML) as well as principles of Model Driven Architecture (MDA) to automate creating of and maintaining containers. The main aims are designing meta-model language that is capable of defining Docker containers as part of software architecture modeling process and using transformations to create Docker files that can be used to instantiate container. The paper presents UML profile UML Docker Services Profile and model-to-text transformation Model2DockerFile transformation. Both, the profile and the transformation were designed, implemented and incorporated in IBM Rational Software Development environment. The developed environment can be used to generate DockerFile files, from UML models with applied specific stereotypes from UML Docker Services Profile, that can be used in containers runtime.

© 2018 IEEE. The paper presents the concept of renewable energy management system. The idea behind the system is to exploit the potential of renewable energy generation sources so as to provide additional energy services and participation in a competitive energy market. These actions can significantly affect the shortening of the period of return on investment of individual customer in renewable energy sources. The paper contains a concept of Electricity Consumption and Supply Management System (ECSM) with application of blockchain technology. ECSM provides functionality to monitor and record continuously information about inbound and outbound energy to/from power grid. Except monitoring inbound and outbound energy, solution will provide the possibility to manage in automatic and manual way when energy should be sent to energy grid. Information about inbound/outbound energy will be part of smart contract which will be confirmed and stored in every node.

The paper explores aspect of exposing data for public usage from technical point of view. The main aim of this paper is to consider and propose the way of exposing read-only APIs, where state management is minor or no issue, but in the same case, domain complexity can reach high levels. In the paper, the authors propose complete approach to the process of API exposing, from use-case definition and description, to usage of proposed architectural design pattern for read-only API exposure. The paper encompasses the following aspects which were taken into account in proposed design pattern: API usability, developer experience, unit and integration testing, architecture constraints. Moreover, the authors summarize the paper and outline directions for further work.

Vessels detection, identification and tracking is a very important problem of various aspects. To identify ships and support navigation procedures, the Automatic Identification System (AIS) has been introduced in late 90s. Since then, AIS become one of the basic tools for maritime traffic monitoring. Used mostly for the exchange of information at a local scale, AIS generates a number of problems for satellite systems which are trying in the detection of signals from vessels. There are currently several SAT-AIS enabled satellites on the Earth’s orbit, including those designed and launched by private entities such as ORBCOMM, exactEARTH, LuxSPACE or state-owned institutions like the German Aerospace Center (Deutsches Zentrum fur Luft- und Raumfahrt—DLR) or the European Space Agency (Waraksa et al. 2014). AIS packets collisions generated by vessels which are behind the horizon, signal interferences and their limited operational range degrade AIS packets’ detection probability by on-orbit systems. For this article, we have performed an analysis of the AIS signal registered on the Baltic coast and the signal recorded on the Earth’s orbit by the AAUSAT3 satellite (Jessen et al. 2009). The main goal of this analysis is to propose a procedure which may be utilized on board a satellite for the identification and decoding of AIS messages. The successful decoding of AIS messages may significantly decrease the amount of data to be stored in the satellite memory and transmitted to the ground station for further analysis. This work has been performed in the context of the SAT-AIS-PL satellite project and its main payload.

Sleep slow waves are known to participate in memory consolidation, yet slow waves occurring under anesthesia present no positive effects on memory. Here, we shed light onto this paradox, based on a combination of extracellular recordings in vivo, in vitro, and computational models. We find two types of slow waves, based on analyzing the temporal patterns of successive slow-wave events. The first type is consistently observed in natural slow-wave sleep, while the second is shown to be ubiquitous under anesthesia. Network models of spiking neurons predict that the two slow wave types emerge due to a different gain on inhibitory vs excitatory cells and that different levels of spike-frequency adaptation in excitatory cells can account for dynamical distinctions between the two types. This prediction was tested in vitro by varying adaptation strength using an agonist of acetylcholine receptors, which demonstrated a neuromodulatory switch between the two types of slow waves. Finally, we show that the first type of slow-wave dynamics is more sensitive to external stimuli, which can explain how slow waves in sleep and anesthesia differentially affect memory consolidation, as well as provide a link between slow-wave dynamics and memory diseases., 37 pages, 5 main figures, 4 supplementary figures

The paper concentrates on best practices which have proven themselves in course of first months of developing enterprise architecture for capital group in energy sector. The paper encompasses the worst practices for using enterprise architecture (EA) that can cause problems. On the other hand, the author presents solutions which should be applied instead. Furthermore, the author presents both, the biggest challenges which organizations have to face, and the most important challenges which had to tackle with from the first day of acting as an enterprise architect. Moreover, the paper consists of examples of recommendations which have been provided to most important issues in organizations in the group. What is more, the paper presents areas which an enterprise architect should have in mind when proposing solutions or giving architectural recommendations. The author, presents directions of further actions to establish enterprise architecture in the group.

International audience; In this paper, we analyze the levels of performance of the (full or reduced versions of) space-time adaptive processing (STAP) algorithms applied to high-frequency surface wave radars (HFSWRs) for marine target detection to verify whether this family outperforms the usual moving target indication (MTI) algorithms. In fact, STAP algorithms have well-known drawbacks (e.g., large amount of secondary data). The propagation and backscattering of radar signals are included in the covariance matrix calculation. Since the propagation and backscattering have to be derived from physical features of the sea (e.g., sea Doppler) and the atmosphere, we also include the difference induced by the waveform (pulsed radar/chirp) in our study. Moreover, since the inverse covariance matrix is used in the target detection algorithms, matrix conditioning is also inspected for practical implementation reasons. We numerically detail the performance (signal noise clutter ratio and conditioning number of the STAP algorithms) with regards to the MTI performance for several configurations of radar and sea state. These results show that the improvements of signal noise clutter ratio are counterbalanced by a raise of the conditioning number, except in the case of eigencanceler approach. The sea-state parameters have few effects on the performance unlike to radar parameters.

BACKGROUND Rivaroxaban (Xarelto) does not require routine coagulation monitoring; however, in certain clinical situations (overdose, drug accumulation, urgent surgery) measurement of its plasma concentration is highly recommended. Currently, there is no single hemostasis test that shows a direct correlation between rivaroxaban plasma levels and anticoagulant efficacy. OBJECTIVES This study was intended to assess the value of ROTEM in determining rivaroxaban administration. MATERIAL AND METHODS Thirteen patients with venous thromboembolism and 13 healthy volunteers were compared with regard to certain ROTEM parameters and anti-FXa activity. The tests were done before the administration of 20 mg rivaroxaban (i.e. 24 h after previous administration) and 2.5 h afterwards. RESULTS The study group demonstrated residual activity of rivaroxaban in plasma (20 ± 11.3 ng/mL) 24 h following the previous administration, which did not cause marked changes in clotting assays compared to controls. In the group, 2.5 h after rivaroxaban administration, prolongation of PT (PTratio 1.51 ± 0.22), APTT (APPTratio: 1.30 ± 0.14) and ROTEM CT (CTratio - EXTEM: 2.45 ± 1.06, CTratio - INTEM 1.32 ± 0.21) were observed. The cut-off values for particular tests were created to determine if the patient had achieved desirable anticoagulant effect after rivaroxaban administration. The mean anti-FXa values were significantly lower in patients before rivaroxaban dosing than after. CONCLUSIONS PT demonstrated better diagnostic value than APTT in rivaroxaban administration. The ROTEM clotting time (CT) according to EXTEM may be used to determine the anticoagulation effect of rivaroxaban, but is not sensitive enough to measure the residual activity of this drug.

Boleslaw Leśmian is primarily known as a poet, a dramatist and a critic, while his translations are rarely the subject of academic research. The article offers an insight into Leśmian’s output as a translator and, indirectly, into his connections with literatures in foreign languages. As based on the available pieces included into his Collected Works and other relevant source materials, the paper outlines Leśmian’s views on the art of translation, indicates his existing translations (Poe’s stories and Arabian tales), thus suggesting the modes of their analysis, as well as his interest in texts and authors that he translated or wanted to translate. Since the outcomes of many of his endeavours are unknown, the paper indicates the directions and aims of further investigations. In its final part, translation research proposals and some of the possibilities of including these translations in the analysis of Leśmian’s works are presented.

The Russian Federation's claim to the 2,500,000 km2 area of the Arctic continental shelf is based mainly on the inclusion of the Lomonosov and Mendeleev Ridges as part of the Russian continental margin. The UN Convention on the Law of the Sea does not clearly define differences between oceanic ridges and natural components of the continental shelf. The main burden of interpretation rests with the Commission on the Limits of the Continental Shelf. How the Commission deals with Arctic ridges will influence the scope of claims from all the other coastal states with adjacent ridges and natural components of the continental shelf.

The "sonic region" of the Sun corona remains extremely difficult to observe with spatial resolution and sensitivity sufficient to understand the fine scale phenomena that govern the quiescent solar corona, as well as phenomena that lead to coronal mass ejections (CMEs), which influence space weather. Improvement on this front requires eclipse-like conditions over long observation times. The space-borne coronagraphs flown so far provided a continuous coverage of the external parts of the corona but their over-occulting system did not permit to analyse the part of the white-light corona where the main coronal mass is concentrated. The proposed PROBA-3 Coronagraph System, also known as ASPIICS (Association of Spacecraft for Polarimetric and Imaging Investigation of the Corona of the Sun), with its novel design, will be the first space coronagraph to cover the range of radial distances between ~1.08 and 3 solar radii where the magnetic field plays a crucial role in the coronal dynamics, thus providing continuous observational conditions very close to those during a total solar eclipse. PROBA-3 is first a mission devoted to the in-orbit demonstration of precise formation flying techniques and technologies for future European missions, which will fly ASPIICS as primary payload. The instrument is distributed over two satellites flying in formation (approx. 150m apart) to form a giant coronagraph capable of producing a nearly perfect eclipse allowing observing the sun corona closer to the rim than ever before. The coronagraph instrument is developed by a large European consortium including about 20 partners from 7 countries under the auspices of the European Space Agency. This paper is reviewing the recent improvements and design updates of the ASPIICS instrument as it is stepping into the detailed design phase.

PROBA-3 is a mission devoted to the in-orbit demonstration of precise formation flying techniques and technologies for future ESA missions. PROBA-3 will fly ASPIICS (Association de Satellites pour l’Imagerie et l’Interferometrie de la Couronne Solaire) as primary payload, which makes use of the formation flying technique to form a giant coronagraph capable of producing a nearly perfect eclipse allowing to observe the sun corona closer to the rim than ever before. The coronagraph is distributed over two satellites flying in formation (approx. 150m apart). The so called Coronagraph Satellite carries the camera and the so called Occulter Satellite carries the sun occulter disc. This paper is reviewing the design and evolution of the ASPIICS instrument as at the beginning of Phase C/D.

In this paper we present the concept of multiple sensors data acquisition from onboard of an Unmanned Air Vehicule (UAV). Because of flight instabilities caused by atmosferic movements (winds, thermals etc..) it is necessary to apply active stabilization in order to obtain reliable readings from observation sensors. The most stabilization-demanding sensor is Synthetic Aperture Radar (SAR) and in this paper two methods of stabilization are presented: hybrid (electromechanical) and electronic.

Surface wave over the horizon radar systems have a potential to detect targets, that are hidden under optical horizon. This possibility is, however, difficult to implement as a result of first and second order clutter scattered from the ocean surface in combination with interferences. In this paper we compare adaptive MTI and space-time adaptive processing algorithms applied to the surface wave high frequency radar system data. The aim of the experiments was to evaluate different techniques and their usefulness to detect targets at distances 50-200 km off shore. In the experiments authors used the data from an oceanographic, surface-wave, high frequency system WERA, designed to perform continuous monitoring of sea currents and waves. Data were collected at the west coast of France, in Brittany.

International audience; The fundamental assumption that is made while space-time adaptive processing (STAP) technique is considered is that the signal to be processed takes on the form of a sequence of coherent pulses. Frequency modulated continuous wave (FMCW) systems are in widespread use because of their numerous advantages due among others to its non pulse character. It seems extremely important to look for a possibility of using STAP procedures in FMCW systems to make them even more attractive. The paper presents a simple analysis of a proposed approach to achieve this goal. A structure of the signal processor is presented and assumptions necessary to be fulfilled are defined. Effects of the proposed approach implementation in HF, I, and X bands are evaluated on the basis of selected parameters of the appropriate FMCW-STAP systems.

Space-Time Adaptive Processing (STAP) is a well known technique used for dealing with clutter in order to detect moving targets. This technique was derived under assumption, that clutter has Gaussian characteristics. Unfortunately when dealing with sea clutter, Gaussian assumption is no longer valid [1]. This causes increased number of false alarms. In this paper we present improved detector to deal with non-Gaussian clutter. Detector was derived from Generalized Likelihood Ratio Test (GLRT), assuming Spherically Invariant Random Process (SIRP) as a model for the clutter. Resulting detector was named Two Dirac-Deltas (TDD) detector and it has additional parameter (Δ) in comparison to classical STAP. Based on simulations, it is shown that it is crucial to choose Δ parameter appropriately.

International audience; Space-time adaptive processing (STAP) can improve target detectability in a presence of a ground clutter for airborne radar. Ground clutter echo has a wide spectrum as a result of the radar platform (airplane or satellite) motion. To reject clutter echo and preserve target echo, STAP employs antenna array. Simultaneous filtering in both spatial (angle) and frequency domain can improve performance. In this paper we propose a new application of STAP. Assuming an antenna array standing on a sea shore, the objective is to detect targets on the sea surface. Unfortunately sea clutter has different statistical properties compared to airborne clutter. As a consequence, basic STAP algorithm is not optimal in any sense. Future research will face the problem of evaluating performance of STAP applied to sea clutter. We hope to develop a new algorithm that can perform better in the presence of sea clutter.