Browsing by browse.metadata.tuhhjournals "Advances in intelligent systems and computing"
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Publication without files 20 years of co-creation using case based learning: an integrated approach for teaching innovation and research in product generation engineering(Springer, 2018-09); ; ; ; The teaching program IP - Integrated Product Development has been implemented annually with great success for 20 years, which means that this format has gained a high level of acceptance among companies from a wide range of industries. The participating students acquire professional skills in the area of PGE - Product Generation Engineering through the experience of the real development project and by applying activities and methods of product development, combined with a lecture that deals with the most recent cases from the business world. With the aim of bringing the co-creation formats to further student target groups with diverse needs, the format IP was analyzed and a general valid co-creation approach for case-based learning, was characterized by relevant success factors. Based on this, it was possible to transfer the success factors from IP contextual into the breadth (reaching a high number of students) and into the depth (gain of research competences) by means of two further formats.Publicationtype: Conference PaperCitation Publisher Version:Advances in Intelligent Systems and Computing 716: 636-647 (2018)Publisher DOI:10.1007/978-3-319-73204-6_6953 - Some of the metrics are blocked by yourconsent settings
Publication without files Chlorella Microalga Biomass Cultivation for Obtaining Energy in Climatic Conditions of St. PetersburgThere is a special approach of modern science, connected with production and use of biofuel, recieved from the biomass that is widely developing nowadays. In current paper conditions of cultivation of microalgae Chlorella sorokiniana for further use as a source of receiving biofuel and biogas are studied. In comparison with other microalgae, types of Chlorella have higher efficiency of photosynthesis. Climatic conditions of St. Petersburg are less suitable for cultivation of Chlorella, than conditions of warm regions. But it is possible to receive a sufficient gain of biomass with the help of creation of additional factors of cultivation. According to St. Petersburg conditions, June, July and August are optimum for cultivation of microalgae. In this study cultivation of Chlorella sorokiniana under natural conditions of St. Petersburg was carried out, at natural lighting, without aeration when hashing once a day. Control experiment was made on populations which were grown up in vitro at a stable temperature in the same conditions of aeration and also on populations grown up with aeration and periodic hashing. The main condition of cultivation influencing growth of number of cells are aeration and hashing; in these conditions number of cells of algae in 16 days increases by 3.5 times. The same process made under natural conditions in St. Petersburg increases number of cells only by two times. The negative impact of environmental factors is shown in increase of part of dead cells in population that is revealed by means of coloring of temporary medicines by methylene blue. Thus, Chlorella sorokiniana cultivation is possible in the conditions of St. Petersburg, however it is necessary to correct cultivation conditions with aeration and periodic cultivation. The scheme of receiving valuable components and biofuel from the cultivated biomass of microalgae C. sorokiniana has been offered in this work.Publicationtype: Conference PaperCitation Publisher Version:Advances in Intelligent Systems and Computing (692): 555-562 (2018)Publisher DOI:10.1007/978-3-319-70987-1_59202 - Some of the metrics are blocked by yourconsent settings
Publication without files Hybrid multilinear modeling and applicationsTensor systems are a framework for modeling of multilinear hybrid systems with discrete and continuous valued signals. Two examples from building services engineering and multi-agent systems show applications of this framework. A tensor model of a heating system is derived and approximated by tensor decomposition methods first. Second, a tensor model of a multi-agent system with a structure already given in a decomposed form is reduced further by the same decomposition methods.Publicationtype: Conference PaperCitation Publisher Version:Simulation and modeling methodologies, technologies and applications$dInternational conference, SIMULTECH 2013 Reykjavík, Iceland, July 29-31, 2013 revised selected papers.- (Advances in Intelligent Systems and Computing 319). - Seite 71-85 (2015)Publisher DOI:10.1007/978-3-319-11457-6_536 - Some of the metrics are blocked by yourconsent settings
Publication without files Kaleidoscope of User Involvement : Product Development Methods in an Interdisciplinary Context(2020); ;Sankowski, Olga; Involving user perspectives into product development activities means involving empiric science methods into engineering sciences. On the one hand, human-centered research methods should assist engineering designers in problem definition, solution generation, decision-making and evaluation aligned to the users. On the other hand, different research logics and approaches of problem solving can be an obstacle to the application of methods from other disciplines. The article presents a terminology aimed at supporting interdisciplinary understanding of methods and its underlying conceptualizations.Publicationtype: Conference PaperCitation Publisher Version:Advances in Intelligent Systems and Computing (1026): 8-14 (2020)Publisher DOI:10.1007/978-3-030-27928-8_2141 - Some of the metrics are blocked by yourconsent settings
Publication without files Learning management systems on blended learning courses : an experience-based observationThis paper gives an overview of Learning Management System (LMS) features based on observations on a blended learning course under the Erasmus+ project COLIBRI. We explain the main features of LMSes under two main categories: accessibility content-related and underline the capabilities of four LMSes, Moodle, Blackboard Learn, Canvas, and Stud.IP with respect to these. We explain how these features were utilized to increase the efficiency, tractability, and quality of experience of the course. We found that an LMS with advanced features such as progress tracking, modular course support, interactive content support, and content access restriction is of paramount importance for blended learning courses.Publicationtype: Conference PaperCitation Publisher Version:Advances in Intelligent Systems and Computing (681): 141-148 (2018)Publisher DOI:10.1007/978-3-319-68720-9_17240 - Some of the metrics are blocked by yourconsent settings
Publication without files Parameter identification of canalyzing and nested canalyzing boolean functions with ternary vectors for gene networksIn gene dynamics modeling, parameters of Boolean networks are identified from continuous data under various assumptions expressed by logical constraints. These constraints may restrict the dynamics of the network to the subclass of canalyzing or nested canalyzing functions, which are known to be appropriate for genetic networks. This paper introduces high performance algorithms, which solve the parameter identification problem by so called Zhegalkin identification and exploit the restriction to canalyzing or nested canalyzing functions resulting in reduced calculation time. The constraints are formulated in terms of orthogonal ternary vector lists, which offer an efficient representation for Boolean functions. The canalyzing constraints can be intrinsically incorporated in an existing Branch-and-Cut algorithm, which lead to a natural restriction of the search space and thus of the calculation time. For nested canalyzing constraints this is not possible. Instead, an identification algorithm based on enumeration is proposed. The algorithms are applied to mRNA micro array data from mice under different contaminant conditions and good correspondence to a known apoptotic pathway can be shown.Publicationtype: Conference PaperCitation Publisher Version:Advances in Intelligent Systems and Computing 676: 198-221 (2018-01-01)Publisher DOI:10.1007/978-3-319-69832-8_1226