A Reference Structure For Modular Model Based Analyses

In this work, the authors analysed the co-dependency between models and analyses, particularly the structure and interdependence of artefacts and the feature-based decomposition and composition of model-based analyses. Their goal is to improve the maintainability of model-based analyses. They have investigated the co-dependency of Domain-specific Modelling Languages (DSMLs) and model-based analyses regarding evolvability, understandability, and reusability.

With the dramatic increase in RNA 3D structure determination in recent years, we now know that RNA molecules are highly structured. Moreover, knowledge of RNA 3D structures has proven crucial for understanding in atomic detail how they carry out their biological functions. Because of the huge number of potentially important RNA molecules in biology, many more than can be studied experimentally, we need theoretical approaches for predicting 3D structures on the basis of sequences alone. This volume provides a comprehensive overview of current progress in the field by leading practitioners employing a variety of methods to model RNA 3D structures by homology, by fragment assembly, and by de novo energy and knowledge-based approaches.

Software engineering research has di?erent pro?les in Europe and North Am- ica.WhileinNorthAmericathere isalotofknowhowinthepractical,technical, and organizational aspects of software engineering, in Europe the work conc- trates more on foundations and formal modeling of software engineering issues. Bothapproacheshavetheirindividualstrengthsandweaknesses. Researchdriven solelyby practice insoftware engineering runs in the danger ofdevelopinginto a shallow ?eld failing to ?nd a solid scienti?c basis or to contribute substantially to the progress in software engineering. Work concentrating on formal aspects alone is in the danger of becoming too theoretical and isolated from practice so that any transfer into practical application will fail. Substantial progress in software engineering can be achieved, however, by bringing together pragmatic and foundational work in software engineering - search. This can provide a step towards a common scienti?c basis for software engineering that allows us to integrate the various research results, leading to fruitful synergetic e?ects. It will also help to identify critical research paths and to develop an adequate paradigm for the scienti?c discipline of software en- neering. In software and systems engineering it is necessary to distinguish the en- mous di?erence between the dynamics in development we refer to and the l- ited scope assumed by manyof today’ssoftware managerswho stilluse outdated techniques. Many of the unsolved problems associated with the old techniques are symptoms of a lack of formalization and a lack of automation support. It was the goal of this workshop to bring together experts from science and practice in software and systems engineering from North America and Europe.

Model-Based Approaches to Learning provides a new perspective called learning by system modeling. This book explores the learning impact of students when constructing models of complex systems.

The increasing demand for new civil aircraft pushes aircraft manufacturers to develop innovative solutions that lead in particular to mass reductions. One way to achieve these kinds of improvements is the use of multidisciplinary analysis and optimization. In this sense the intention of this PhD thesis is to develop a multidisciplinary framework in order to quantify the impact of load alleviation function parameter changes on structural components like the wing and fuselage in terms of resulting mass changes. The developed iterative process chain covers the loads calculation including an active load alleviation system, a structural assessment of the wing and fuselage components and a dedicated feedback loop in order to update mass and stiffness properties of the loads calculation model. The study shows that significant mass reductions are achievable while on the other hand estimated mass penalties are irrelevant.

In many countries, the development of railway science is of great significance to both the economy and society, and transdisciplinary studies involving railways and other fields has also become more important in recent years. This book presents the proceedings of the 7th International Symposium on Innovation & Sustainability of Modern Railway (ISMR 2020), held in Nanchang, China from 23 - 25 October 2020. The symposium has been held biennially since 2008 and is principally aimed at expanding the scientific partnership between Russian and Chinese transport universities in the field of railway transportation. It is organized in a collaboration between the Federal Railway Transport Agency, Irkutsk State Transport University (IrGUPS) and East China Jiaotong University, and enables scientists from Russia, China and Mongolia to come together to discuss breakthrough technologies, as well as the problems of innovation in the secure operation of modern railways. Despite the disruption caused by the global pandemic, 89 submissions were received for the 2020 edition, 38 of which were selected after review for presentation and publication here. These comprise 12 papers dealing with railways and mechanics, 20 covering railways and computer sciences, and 6 related to railways and management, together with the 2 contributions of the invited keynote speakers (professor Xiaoyan Lei, principle of East China Jiaotong University, and professor Erol Guler from George Mason University). The book provides an insight into new ideas and developments in the industry, and will be of interest to all railway practitioners.