@misc{11276,
  abstract     = {{The COST-Action (CA 18137) on Middle Class Mass Housing in Europe (MCMH-EU) has established a transnational scientific network to document the productions of middle-class mass housing built in Europe since the 1950s in order to investigate this specific topic and share knowledge. Considering that middle-class mass housing dominates most of our cities, the research translates into the study of the extensive development of cities in Europe after World War II. The breadth of the theme and the differences between the countries make it difficult to construct a systematic and unified criticism of middle-class mass housing, albeit concentrating on the post-war period. The COST-Action has the goal to build a network to gather research representing the pooled knowledge and experiences from the network of multidisciplinary researchers. So, transversally throughout the Working Groups, an inventory of case studies, a collection of articles, and studies on the policies were produced. This paper elaborates on the collected and produced material and data in order to trigger comparisons and reflections on the approaches and methodologies to face the complexity of middle-class mass housing topic. The comparison was built by using different methods intersecting multiple points of view and following specific thematic tracks that seek to deconstruct the complexity of the middle-class mass housing topic into singular aspects. This paper presents the results of data analyses, visualisation techniques and comparative studies to identify massification processes, morphological structures, demographic and policy developments. It shows a combination of several methods to build a cross-sectional and systematic approach to the diverse knowledge envisioned to develop a methodology for future research. This can be especially useful for future developments and insights towards joint or individual European guidelines, laws and policies to improve the dilapidated housing stock, current housing situation and to compete the housing crisis in general.}},
  author       = {{Benbernou, Ahmed and Como, Alessandra and Harea, Olga and Pottgiesser, Uta and Singhal, Kritika and Smeragliuolo Perrotta, Luisa}},
  booktitle    = {{Journal / DOCOMOMO, International Working Party for Documentation and Conservation of Buildings, Sites and Neighbourhoods of the Modern Movement}},
  issn         = {{1380-3204}},
  keywords     = {{Urban Studies, Architecture, mass housing, neighbourhood}},
  number       = {{68}},
  pages        = {{76--88}},
  publisher    = {{University of Technology}},
  title        = {{{Evaluation & Criticism : Transversal Comparative Approach to Middle-Class Mass Housing }}},
  doi          = {{10.52200/docomomo.68.08}},
  year         = {{2023}},
}

@misc{9235,
  abstract     = {{The article examines the existing infrastructure of open common spaces within two New Belgrade mass housing blocks (Blocks 23 and 70a) through a typo-morphological analysis. These spaces between the buildings, although the most neglected, underused, and deteriorated components of mass housing neighbourhoods, are at the same time crucial to the quality, vitality and integrated governance of these neighbourhoods. They represent the primary tangible commons in cities and neighbourhoods. The question of urban commons is increasingly present in scientific literature, urban and architectural discourse. Nevertheless, approaches exploring the spatiality of the urban commons are scarce, leading to insufficient understanding of the spatial aspect and potentials of the already existing commons. Therefore, this study includes (1) identification, typological decoding and classification of the common spaces, focusing on the case of New Belgrade blocks, followed by (2) analysis of the spatial patterns and integration of the identified spaces within the blocks. The study confirms the complexity and diverse typology of the common spaces. It finds that the in-between, common spaces contribute to higher integration of different segments of the blocks. The open common spaces have an essential role in humanisation of the blocks, and thus the quality of life in the blocks as integrated neighbourhoods. The findings indicate that the spatial setting of the open common spaces in New Belgrade blocks allows for (re)emergence of collective practices, leading to inclusive and integrated rehabilitation of the neighbourhoods.}},
  author       = {{Dragutinovic, Anica and Quist, Wido and Pottgiesser, Uta}},
  booktitle    = {{Frontiers of Architectural Research}},
  keywords     = {{Common spaces, Mass housing, Spatial patterns, Analytical framework, Typo-morphology}},
  number       = {{3}},
  pages        = {{444--457}},
  publisher    = {{Elsevier}},
  title        = {{{Spatiality of the urban commons: Typo-morphology of the open common spaces in New Belgrade mass housing blocks}}},
  doi          = {{https://doi.org/10.1016/j.foar.2022.11.004}},
  volume       = {{12}},
  year         = {{2023}},
}

@misc{12677,
  abstract     = {{After the two 2022-issues of the Docomomo Journal, number 66 on ‘Modern Plastic Heritage’ and number 67 on ‘Multiple Modernisms in Ukraine,’ this issue reveals another chapter of an often and diversely described theme of Modern Movement and a pressing subject worldwide: Housing.}},
  author       = {{Pottgiesser, Uta and Quist, Wido}},
  booktitle    = {{Journal / Docomomo International}},
  issn         = {{2773-1634}},
  keywords     = {{Mass Housing, preservation, Neighborhoods, MCMH-EU}},
  number       = {{68}},
  pages        = {{2--3}},
  publisher    = {{University of Technology}},
  title        = {{{Towards a Housing Preservation Culture}}},
  doi          = {{10.52200/docomomo.68.ed}},
  year         = {{2023}},
}

@misc{13017,
  abstract     = {{The article presents the potentials and capacities of extracurricular activities such as student workshops for strengthening existing curricula and introducing emerging specialised areas, topics, and challenges into architectural higher education. The specific objective of this study is to enhance and test different pedagogical models for learning on the sustainable rehabilitation of mass housing neighbourhoods (MHN), as a specific type of modern heritage, through innovative extracurricular teaching practices based on interdisciplinarity, flexibility, and adaptability. This research presents three student workshops focusing on the rehabilitation of mass housing neighbourhoods (MHN), involving students, academics, and professionals from the field, organised in Germany, Serbia, and North Macedonia in 2022. Moreover, it engages a comparative analysis of the learning formats and approaches developed within this discipline-specific cross-border collaboration. The study provides (1) an insight into the comparative analysis of learning capabilities and (2) the formulation of workshop models supported by diagramming of the workshop structure. The conclusion of the article summarises the findings and highlights the essential aspects for engaging student workshops, as an instrument for generating operational knowledge in the field of mass housing rehabilitation.}},
  author       = {{Dragutinovic, Anica and Milovanovic, Aleksandra and Stojanovski, Mihajlo and Damjanovska, Tea and Đorđevic, Aleksandra and Nikezic, Ana and Pottgiesser, Uta and Ivanovska Deskova, Ana and Ivanovski, Jovan}},
  booktitle    = {{Sustainability}},
  issn         = {{2071-1050}},
  keywords     = {{extracurricular activities, extracurricular learning formats, student workshops, workshop models, pedagogical models, architectural higher education, mass housing neighbourhoods, sustainable rehabilitation}},
  number       = {{3}},
  publisher    = {{MDPI }},
  title        = {{{Approaching Extracurricular Activities for Teaching and Learning on Sustainable Rehabilitation of Mass Housing: Reporting from the Arena of Architectural Higher Education}}},
  doi          = {{10.3390/su15032476}},
  volume       = {{15}},
  year         = {{2023}},
}

@misc{8457,
  abstract     = {{Mass housing neighbourhoods (MHN) represent the leading pattern of urban transformation and expansion in the second half of the 20th century, and accordingly evaluation, regeneration and redesign of the MHN represent a necessary and challenging task in the contemporary research context. In the practical scope of MHN rehabilitation, various holistic approaches and design strategies are identified that affirm both ecological transition and social transformation of these urban settings. However, the level of application of such approaches across Europe varies greatly, and requires research initiatives of a comparative nature that open a cross-geographical debate at the European level. Although there is a series of evidence-based studies that define the conceptual framework of MHN, i.e., large-scale housing settlements, through historical-interpretative and chronological analyses, the academic debate on practical and feasible MHN rehabilitation and their sustainable integration into the urban development of cities at European level is underdeveloped. The specific objective of this paper is to establish preliminary insights into the current level of MHN rehabilitation and to identify challenges for further actions through (1) a comparative analysis of MHN role models from the second half of 20th century, and through (2) insights from an implemented expert questionnaire. The research engages a comparative case study analysis as the primary method and analyses MHN in Germany (as a representative of Western Europe) and in the two ex-Yugoslav countries, North Macedonia and Serbia (as representatives of Eastern Europe). This research has highlighted the main obstacles and challenges for MHN rehabilitation and demonstrated the importance of a multiscale approach to MHN analysis, having in mind that through the distribution of design values at the analysed spatial levels (neighbourhood level, building level, and apartment level) the application of affirmative indicators within different design values group is recognised.}},
  author       = {{Milovanovic, Aleksandra and Dragutinovic, Anica and Nikezic, Ana and Pottgiesser, Uta and Stojanovski, Mihajlo and Ivanovska Deskova, Ana and Ivanovski, Jovan and Damjanovska, Tea}},
  booktitle    = {{Sustainability / Multidisciplinary Digital Publishing Institute (MDPI)}},
  issn         = {{2071-1050 }},
  keywords     = {{mass housing neighbourhoods, rehabilitation, housing design values, comparative case study, questionnaire, multiscale approach, Germany, North Macedonia, Serbia}},
  number       = {{13}},
  publisher    = {{MDPI}},
  title        = {{{Rehabilitation of Mass Housing as a Contribution to Social Equality: Insights from the East-West European Academic Dialogue}}},
  doi          = {{10.3390/su14138106}},
  volume       = {{14}},
  year         = {{2022}},
}

@inproceedings{6752,
  abstract     = {{The paper introduces a participatory method for re-generation of the common spaces in residential neighbourhoods, especially in case of post-war mass housing. The method combines regenerative design and co-commitment that are recognized as decisive factors in mass housing revitalisation. The spatial focus of the research is on New Belgrade Blocks (Serbia) that are part of the larger phenomenon of the post-socialist urban heritage. The neighbourhoods that are part of this larger framework are having common attributes and facing similar issues nowadays. Comprehending and managing change in these neighbourhoods requires community-driven actions that would include all relevant stakeholders in the process through co-commitment. The actions, that would be based on regenerative and biophilic design, would ensure both maintenance of green spaces of the neighbourhoods, as well as integration of new nature-based solutions. The approach is enhancing the role of community and highlighting the important values of common spaces in ensuring vitality of mass housing and co-creating healthy and liveable environments. The paper is contributing to contemporary discussions on resilient cities and communities and promoting participatory and integrated urban renewal.}},
  author       = {{Dragutinovic, Anica and Pottgiesser, Uta}},
  booktitle    = {{Doconf 2021: Facing post-socialist urban heritage - Proceedings}},
  editor       = {{Benko, Melinda}},
  isbn         = {{978-963-421-864-7}},
  keywords     = {{co-commitment, mass housing, revitalisation, common spaces}},
  location     = {{Budapest}},
  pages        = {{116--125}},
  publisher    = {{BME Department of Urban Planning and Design}},
  title        = {{{Regenerative Design and Co-commitment as Decisive Factors in Mass Housing Revitalisation}}},
  doi          = {{https://doi.org/10.25644/srfb-k706}},
  year         = {{2021}},
}

@phdthesis{4919,
  abstract     = {{AbstractThe industrial production ofwood-based compo-sites (WBCs) features the core processes in theforming and press line,which are characterisedby densification and the curing of resin-blended furnish materialto obtain a panel from a formed mat in a continuous or batch-wise process.Here, the reliable measurement of process parameters and panel properties is indispensablefor moni-toring and controllingproductionand quality.The in-plane area density(𝜌A)of the mat and the raw density(𝜌)of the panel,along withits vertical rawdensity  profile  (RDP),aretypically determined through nondestructivemeans of radiometric de-vices.X-ray  systems  for  density  measurement on  WBCsare commonly  usedin both industry and research. Theyfollow a similar basic princi-pleof radiation transmissionwith specificsetups depending  onthe  measuring  taskat  hand.  De-tector  signalsare  evaluated  regarding relative radiation  transmission,  which  is  well-knownto followBeer’s  law  of  exponential  attenuation.Note here, particular conditions regarding radia-tion  (energyand  beam  geometry)  and  material properties  (consistent  and  homogeneous)  are expected. These conditions, however, cannot be consistently  achieved  in  applied  radiometric  in-vestigationson  WBCs [...]}},
  author       = {{Solbrig, Konrad}},
  keywords     = {{density measurement, radiation transmission, porous low-Z composite material, true density, elemental composition and ash content, effective atomic number, mass attenuation coefficient, X-ray energy spectrum, law of attenuation, beam hardening and radiation build-up, radiation-physical interdependencies, Dichtemessung, Durchstrahlung, poröser Verbundwerkstoff, Reindichte, elementare Zusammensetzung und Aschegehalt, effektive Ordnungszahl, Massenschwächungskoeffizient, Röntgenspektrum, Schwächungsgesetz, Strahlaufhärtung und Strahlungsaufbau, strahlungsphysikalische Wechselbeziehungen}},
  pages        = {{453}},
  publisher    = {{Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky }},
  title        = {{{Applied Investigations on Wood-Based Composites in the Context of X-Ray Densitometry}}},
  year         = {{2019}},
}

@misc{12975,
  abstract     = {{Properly handled fish is usually marketed as “fresh fish” until day 10 after fishing. About 40% of the total fishery that is used for direct human consumption is marketed in fresh form stored at temperatures up to +2 °C. Currently, there are no validated methods available for controlling the recommended period of storage. Apart from being a potential source for food fraud, spoiled fish represents a major source of foodborne illnesses and intoxications.
In this study, a rapid MALDI-TOF mass spectrometry based screening method was developed using the vitreous fluid of fish eyes as specimen for the examination of different days of storage. The vitreous fluid was collected from n = 100 freshly fished brown trouts at day 0, 3, 7, 9, and 11 post mortem (n = 20 brown trouts each day of examination). The samples were immediately measured by MALDI-TOF mass spectrometry in linear positive mode (mass range m/z 2000–20,000 Da). For quality assurance the experiment was repeated with a set of brown trouts (n = 100) originating from the same fish farm and with brown trouts (n = 100) originating from a different fish farm. For specificity testing rainbow trouts (n = 10) were examined accordingly. All obtained mass spectra were processed by means of MALDI Biotyper OC 3.1 and ClinProTools 3.0 software.
The MALDI Biotyper approach showed limited applicability for the identification of the time of storage. However, it was suitable to reliably discriminate between the closely related species brown and rainbow trout. Processing by ClinProTools revealed four crucial mass peaks (m/z 2594 Da, m/z 4857 Da, m/z 4879 Da, m/z 4899 Da) which enabled a reliable differentiation between day 0 and 3, 7, 9, 11 (rate of correct identification > 90%) as well as the differentiation between day 3 and 7, 9, 11 (rate of correct identification > 72%). However, this approach showed limited applicability within the end of the tested period of storage when comparing between day 7, 9, or 11.}},
  author       = {{Ulrich, Sebastian and Beindorf, Philipp–Michael and Biermaier, Barbara and Schwaiger, Karin and Gareis, Manfred and Gottschalk, Christoph}},
  booktitle    = {{Food Control}},
  issn         = {{0956-7135}},
  keywords     = {{MALDI-TOF, Mass spectrometry, Freshness, Fish, Quality control, Authenticity}},
  number       = {{10}},
  pages        = {{281--289}},
  publisher    = {{Elsevier }},
  title        = {{{A novel approach for the determination of freshness and identity of trouts by MALDI-TOF mass spectrometry}}},
  doi          = {{10.1016/j.foodcont.2017.05.005}},
  volume       = {{80}},
  year         = {{2017}},
}

@misc{12976,
  abstract     = {{The consumption of edible insects (entomophagy) will gain greater significance facing the increasing global population, which is suggested to reach 9 billion people in 2050 (FAO., 2009). Due to their high amount of proteins, fatty acids, vitamins, and minerals insects represent a valuable source of essential nutrients.
While the consumption of insects is very common in many countries of Africa and Asia, there is a far smaller acceptance for entomophagy in Western cultures. Though, products such as noodles or burger paddies made from insect meal have a better compliance and can already be purchased in some countries of the European Union. This processing step however involves the risk of adulteration, because there is no more possibility to authenticate the insects once they are ground.
The aim of this study was to investigate whether edible insects could be measured and distinguished by MALDI-TOF MS (matrix-assisted laser desorption ionization-time of flight mass spectrometry). Therefore, different kinds of edible insects (buffalo worms, mealworms, crickets and grasshoppers) were purchased via online shops and ground subsequently. The insect powder was extracted by vigorously shaking in diluted formic acid and measured by MALDI-TOF MS. The measurement provided reproducible as well as specific mass spectra and enabled a precise differentiation of the different species.}},
  author       = {{Ulrich, Sebastian and Kühn, Ulrike and Biermaier, Barbara and Piacenza, Nicolo and Schwaiger, Karin and Gottschalk, Christoph and Gareis, Manfred}},
  booktitle    = {{Food Control}},
  issn         = {{0956-7135}},
  keywords     = {{MALDI-TOF MS, Mass spectrometry, Edible insects, Authenticity, Food quality}},
  number       = {{6}},
  pages        = {{96--101}},
  publisher    = {{Elsevier}},
  title        = {{{Direct identification of edible insects by MALDI-TOF mass spectrometry}}},
  doi          = {{10.1016/j.foodcont.2017.01.010}},
  volume       = {{76}},
  year         = {{2017}},
}

@misc{12977,
  abstract     = {{Stachybotrys (S.) spp. are omnipresent cellulolytic molds. Some species are highly toxic owing to their ability to synthesize various secondary metabolites such as macrocyclic trichothecenes or hemolysins. The reliable identification of Stachybotrys at species level is currently limited to genome-based identification. This study aimed to establish a fast and reliable MALDI-TOF MS identification method by optimizing the pre-analytical steps for protein extraction for subsequent generation of high-quality fingerprint mass spectra. Eight reference strains of the American Type Culture Collection and the Technical University of Denmark were cultivated in triplicate (biological repetitions) for 2 days in malt extract broth. The mycelia (1.5 ml) were first washed with 75 % ethanol and an additional washing step with dimethyl sulfoxide (10 %) was added to remove unspecific low weight masses. Furthermore, mycelia were broken with roughened glass beads in formic acid (70 %) and acetonitrile. The method was successfully applied to a total of 45 isolates of Stachybotrys originating from three different habitats (indoor, feed, and food samples; n = 15 each): Twenty-seven isolates of S. chartarum and 18 isolates of S. chlorohalonata could be identified by MALDI-TOF MS. The data obtained exactly matched those obtained by genome-based identification. The mean score values for S. chartarum ranged from 2.509 to 2.739 and from 2.148 to 2.622 for S. chlorohalonata with a very good reproducibility: the relative standard deviations were between 0.3 % and 6.8 %. Thus, MALDI-TOF MS proved to be a fast and reliable alternative to identification of Stachybotrys spp. by nucleotide amplification and sequencing.}},
  author       = {{Ulrich, Sebastian and Biermaier, Barbara and Bader, Oliver and Wolf, Georg and Straubinger, Reinhard K. and Didier, Andrea and Sperner, Brigitte and Schwaiger, Karin and Gareis, Manfred and Gottschalk, Christoph}},
  booktitle    = {{  Analytical & bioanalytical chemistry : a merger of Fresenius' journal of analytical chemistry, Analusis and Quimica analitica}},
  issn         = {{1618-2650}},
  keywords     = {{Stachybotrys spp, MALDI-TOF MS, Mass spectrometry, Filamentous fungi}},
  number       = {{27}},
  pages        = {{7565--7581}},
  publisher    = {{Springer}},
  title        = {{{Identification of Stachybotrys spp. by MALDI-TOF mass spectrometry}}},
  doi          = {{10.1007/s00216-016-9800-9}},
  volume       = {{408}},
  year         = {{2016}},
}

@inproceedings{2141,
  abstract     = {{Sensor and information fusion is recently a major topic which becomes important in machine diagnosis and conditioning for complex production machines and process engineering. It is a known fact that distributed automation systems have a major impact on signal processing and pattern recognition for machine diagnosis. Therefore, it is necessary to research and develop smart diagnosis methods which are applicable for distributed systems like resource-limited cyber-physical systems. In this paper we propose an new approach for sensor and information fusion based on Evidence Theory and socio-psychological decision-making. We show that context based condition monitoring is instantiated even in conflict situations, oc-curing in real life scenarios permanently. A simple but effective importance measure is proposed which controls the significance of conditioning propositions in a system.}},
  author       = {{Mönks, Uwe and Lohweg, Volker}},
  booktitle    = {{18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)}},
  isbn         = {{978-1-4799-0862-2}},
  issn         = {{1946-0759 }},
  keywords     = {{Decision making, Robot sensing systems, Reliability, Production, Context, Fuzzy set theory, Data integration}},
  title        = {{{Machine Conditioning by Importance Controlled Information Fusion}}},
  doi          = {{10.1109/ETFA.2013.6647984}},
  year         = {{2013}},
}

@inproceedings{2107,
  abstract     = {{In this paper we propose a novel, extended perspective on evidential aggregation rules in machine condition monitoring. First, aspects regarding the interconnections between Dempster-Shafer, Fuzzy Set, and Possibility Theory are shown. Subsequently, a novel approach for direct determination of basic probability assignments using Fuzzy membership functions is proposed. Finally, it is applied to a pipe extrusion line's condition monitoring system, considering and reducing pairwise conflicts.}},
  author       = {{Mönks, Uwe and Voth, Karl and Lohweg, Volker}},
  booktitle    = {{IEEE CIP 2012, Third International Workshop on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain}},
  isbn         = {{978-1-4673-1877-8}},
  issn         = {{2327-1698 }},
  keywords     = {{Sensor phenomena and characterization, Production, Sensor fusion, Fuzzy set theory, Conferences, Possibility theory}},
  title        = {{{An Extended Perspective on Evidential Aggregation Rules in Machine Conditioning}}},
  doi          = {{10.1109/CIP.2012.6232905}},
  year         = {{2012}},
}

@inproceedings{2113,
  abstract     = {{In this paper, we sketch an idea for the integration of singleclass support vector machines (SVM) into fuzzy class learning. As result,we  obtain  robust  and  transparent  rule-based  fuzzy  classification  models suitable for online-classification tasks. In particular, the singleclass SVM is employed to extend the applicability of convex fuzzy classifica-tion models to nonconvex datainherent structures. The key point of thisextension  is  the  preservation  of  the  interpretability  for  both,  the  classlearning and the classification process. The feasibility of the approach isdemonstrated in the context of a banknote authentication application.}},
  author       = {{Hempel, Arne-Jens and Hähnel, Holger and Mönks, Uwe and Lohweg, Volker}},
  booktitle    = {{BVAu 2012 - 3. Jahresolloquium "Bildverarbeitung in der Automation" Centrum Industrial IT, Lemgo,}},
  keywords     = {{fuzzy  classification, pattern  recognition, single-class  support vector machine, data mining}},
  publisher    = {{inIT-Institut für industrielle Informationstechnik}},
  title        = {{{SVM-integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication}}},
  year         = {{2012}},
}

@inproceedings{2117,
  abstract     = {{The present work aims at a statistically motivated parameterisation for a fuzzy classification approach. Its key points are the determination of robust parameterisations for the data-driven fuzzy class learning based an statistical analyses as well as the preservation of the interpretability of the fuzzy class models and the classification process. In particular, order statistics and Monte Carlo methods are used to determine distributions and moments of class border parameters. These distributions and moments are further applied to evaluate the robustness of parameters of the current fuzzy classification model and to propose alternative robust parameterisations. The feasibility of the approach is demonstrated in the context of a machine diagnosis application.}},
  author       = {{Hähnel, Holger and Hempel, Arne-Jens and Mönks, Uwe and Lohweg, Volker}},
  booktitle    = {{22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund }},
  editor       = {{Hüllermeier, Eike  and Hoffmann, Frank}},
  isbn         = {{978-3-86644-917-6}},
  keywords     = {{Fuzzy-Regelung}},
  pages        = {{115--131}},
  publisher    = {{VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA)}},
  title        = {{{Integration of Statistical Analyses for Parametrisation of the Fuzzy Pattern Classification}}},
  year         = {{2012}},
}

@inproceedings{2086,
  abstract     = {{Many of the existing fusion approaches based on Dempster-Shafer Theory (DST) tend to be unreliable in various scenarios. Therefore, this topic is still in discussion. In this work a Two-Layer Conflict Solving (TLCS) data fusion scheme is proposed which is based on Dempster-Shafer Theory and on Fuzzy-Pattern-Classification (FPC) concepts. The aim is to provide an approach to data fusion which provides a stable conflict scenario handling. Furthermore, the scheme can easily be extended to fuzzy classification and is applicable to sensor fusion applications. Therefore, the suggested approach will contribute as a novel fuzzy fusion method.}},
  author       = {{Lohweg, Volker and Mönks, Uwe}},
  booktitle    = {{The 2nd International Workshop on Cognitive Information Processing}},
  isbn         = {{978-1-4244-6457-9}},
  issn         = {{2327-1671 }},
  keywords     = {{Noise measurement, Fuzzy sets, Noise, Sensor fusion, Logic gates, Feature extraction, Fuses}},
  location     = {{Elba}},
  publisher    = {{14-16 June, 2010, Elba Island (Tuscany), Italy}},
  title        = {{{Sensor Fusion by Two-Layer Conflict Solving}}},
  doi          = {{10.1109/CIP.2010.5604094}},
  year         = {{2010}},
}

@inproceedings{2087,
  abstract     = {{It is likely in real-world applications that only little data isavailable for training a knowledge-based system. We present a method forautomatically training the knowledge-representing membership functionsof a Fuzzy-Pattern-Classification system that works also when only littledata is available and the universal set is described insufficiently. Actually,this paper presents how the Modified-Fuzzy-Pattern-Classifier’s member-ship functions are trained using probability distribution functions.}},
  author       = {{Mönks, Uwe and Lohweg, Volker and Petker, Denis}},
  booktitle    = {{IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems}},
  keywords     = {{Fuzzy Logic, Probability Theory, Fuzzy-Pattern-Classification, Machine Learning, Artificial Intelligence, Pattern Recognition}},
  publisher    = {{28 Jun 2010 - 02 July 2010, Dortmund, Germany}},
  title        = {{{Fuzzy-Pattern-Classifier Training with Small Data Sets}}},
  year         = {{2010}},
}

@inproceedings{2071,
  abstract     = {{In this paper, a fuzzy pattern classification tuning approach is proposed, which is based on fusion concept. In this method, tuning parameters are learned in a training procedure, enabling system to be capable of managing individual classification task. Fuzzy c-means, as a specific instance of Tuning Reference, is employed as a tool to offer membership function which is used for making decisions and its membership function fuses (tunes) another membership function captured from fuzzy pattern classification and then final decisions are made upon fused one. Experiments are taken on five benchmark datasets, one of them shows an equal performance and the other four present better results than each single classifier.}},
  author       = {{Li, Rui and Lohweg, Volker}},
  isbn         = {{978-3-8007-3092-6}},
  keywords     = {{tuning parameter, information fusion, fuzzy cmeans, membership function, fuzzy pattern classification}},
  publisher    = {{In: The 11th Conference on Information Fusion, June 30 - July 3, Cologne, Germany}},
  title        = {{{Fuzzy Pattern Classification Tuning by Parameter Learning based on Fusion Concept}}},
  year         = {{2008}},
}

@inproceedings{2062,
  abstract     = {{Bank note inspection is a complex task. As more and more print techniques and new security features are established, total quality security and bank note printing must be assured. Therefore, this factor necessitates change of a sensorial concept in general. We propose an optical-acoustical inspection method based upon the concepts of information fusion and fuzzy interpretation of data measures. Furthermore, we present a simplified scheme for information fusion for pattern recognition and data classification based on parametrical unimodal potential functions and a Sugeno-type score value analysis. Digital Object Identifier: 10.1109/ICIF.2006.301779 <br />}},
  author       = {{Dyck, Walter and Schaede, Johannes and Türke, Thomas and Lohweg, Volker}},
  booktitle    = {{ 2006 9th International Conference on Information Fusion}},
  isbn         = {{ 1-4244-0953-5}},
  keywords     = {{Information security, Inspection, Printing machinery, Optical sensors, Data security, Personnel, Fuzzy systems, Sensor systems, Expert systems, Ink}},
  pages        = {{1--8}},
  publisher    = {{9th International Conference on Information Fusion, 2006. ICIF '06}},
  title        = {{{Information Fusion Application On Security Printing With Parametrical Fuzzy Classification}}},
  doi          = {{10.1109/ICIF.2006.301779}},
  year         = {{2006}},
}

@inproceedings{2058,
  abstract     = {{Nonlinear spatial transforms and fuzzy pattern classification with unimodal potential functions are established in signal processing. They have proved to be excellent tools in feature extraction and classification. In this paper we present a hardware accelerated image processing and classification scheme for rotation and translation tolerant two-dimensional pattern recognition, which is based on one-dimensional nonlinear discrete circular transforms. However, the scheme is simple; it is stable and therefore well suited for industrial applications. An implementation on one field programmable gate array (FPGA) is proposed.}},
  author       = {{Henke, Tobias and Lohweg, Volker}},
  booktitle    = {{IEEE International Conference On Image Processing (ICIP), Proceedings}},
  isbn         = {{0-7803-9134-9}},
  issn         = {{2381-8549 }},
  keywords     = {{Pattern recognition, Field programmable gate arrays, Neural networks, Image processing, Discrete transforms, Signal processing, Image retrieval, Image recognition, Transient analysis, Fuzzy systems}},
  pages        = {{349 -- 352}},
  publisher    = {{IEEE}},
  title        = {{{A Simplified Scheme For Hardware-Based Pattern Recognition}}},
  doi          = {{ 10.1109/ICIP.2005.1529759}},
  year         = {{2005}},
}

@article{2056,
  abstract     = {{Nonlinear spatial transforms and fuzzy pattern classification with unimodal potential functions are established in signal processing. They have proved to be excellent tools in feature extraction and classification. In this paper, we will present a hardware-accelerated image processing and classification system which is implemented on one field-programmable gate array (FPGA). Nonlinear discrete circular transforms generate a feature vector. The features are analyzed by a fuzzy classifier. This principle can be used for feature extraction, pattern recognition, and classification tasks. Implementation in radix-2 structures is possible, allowing fast calculations with a computational complexity of up to. Furthermore, the pattern separability properties of these transforms are better than those achieved with the well-known method based on the power spectrum of the Fourier Transform, or on several other transforms. Using different signal flow structures, the transforms can be adapted to different image and signal processing applications.}},
  author       = {{Lohweg, Volker and Diederichs, Carsten and Müller, Dietmar}},
  issn         = {{1110-8657 }},
  journal      = {{EURASIP journal on applied signal processing : a publication of the European Association for Speech, Signal, and Image Processing }},
  keywords     = {{image processing, nonlinear circular transforms, feature extraction, fuzzy pattern recognition}},
  number       = {{1}},
  pages        = {{1912--1920}},
  publisher    = {{Hindawi Publ.}},
  title        = {{{Algorithms for Hardware-Based Pattern Recognition}}},
  doi          = {{https://doi.org/10.1155/S1110865704404247}},
  volume       = {{12}},
  year         = {{2004}},
}

@phdthesis{2053,
  abstract     = {{In vielen Bereichen der ein- und zweidimensionalen Signalverarbeitung besteht die Aufgabe Signale oder Objekte unabhängig von ihren aktuellen Positionen mittels geeigneter Merkmale zu klassifizieren. Mit Hilfe schneller nichtlinearer Spektraltransformationen ist eine positionsinvariante Merkmalgewinnung möglich. In dieser Arbeit werden reelle Transformationen vorgestellt, deren Eigenschaften in Bezug auf verschiedene Parameter angepasst werden können. Zu nennen ist das gruppeninvariante Verhalten, der rechentechnische Aufwand und die Implementierbarkeit in applikationsspezifische Schaltungen. Durch unterschiedliche Berechnungsstrukturen kann beispielsweise die Separationseigenschaft aufgabengemäß adaptiert werden. Basierend auf dem Konzept charakteristischer Matrizen wird ein generalisiertes Verfahren zur Berechnung der Transformationen abgeleitet. Bezüglich ihrer Charakteristika können die vorzustellenden Transformationen gegenüber anderen als ebenbürtig oder sogar überlegen bezeichnet werden. In Kombination mit einem Fuzzy-Klassifikationsverfahren (Fuzzy-Pattern-Classification, FPC) wird ein System-On-Programmable-Chip Mustererkennungssystem entwickelt, das auf einem programmierbaren applikationsspezifischen Schaltkreis (FPGA) implementiert wird. Das System ist in der Lage pixel-basierende Bilder zu klassifizieren. In der Anwendung der Druckbildinspektion erweist sich das Mustererkennungssystem als praxisgerecht einsetzbar.}},
  author       = {{Lohweg, Volker}},
  keywords     = {{ASIC, Abbildungseigenschaft, Druckbildkontrolle, Prozessorelement, Systolisches Array, Fuzzy-Maß, Invarianz, Klassifikation, Mehrdimensionale Bildverarbeitung, Mustererkennung, Nichtlineare Transformation}},
  pages        = {{207}},
  publisher    = {{Technische Universität Chemnitz}},
  title        = {{{Ein Beitrag zur effektiven Implementierung adaptiver Spektraltransformationen in applikationsspezifische integrierte Schaltkreise}}},
  year         = {{2003}},
}

