[{"citation":{"apa":"Bossek, J., Bischl, B., Wagner, T., &#38; Rudolph, G. (2015). Learning Feature-Parameter Mappings for Parameter Tuning via the Profile Expected Improvement. <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, 1319–1326. <a href=\"https://doi.org/10.1145/2739480.2754673\">https://doi.org/10.1145/2739480.2754673</a>","short":"J. Bossek, B. Bischl, T. Wagner, G. Rudolph, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2015, pp. 1319–1326.","mla":"Bossek, Jakob, et al. “Learning Feature-Parameter Mappings for Parameter Tuning via the Profile Expected Improvement.” <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, Association for Computing Machinery, 2015, pp. 1319–1326, doi:<a href=\"https://doi.org/10.1145/2739480.2754673\">10.1145/2739480.2754673</a>.","bibtex":"@inproceedings{Bossek_Bischl_Wagner_Rudolph_2015, place={New York, NY, USA}, series={GECCO ’15}, title={Learning Feature-Parameter Mappings for Parameter Tuning via the Profile Expected Improvement}, DOI={<a href=\"https://doi.org/10.1145/2739480.2754673\">10.1145/2739480.2754673</a>}, booktitle={Proceedings of the Genetic and Evolutionary Computation Conference}, publisher={Association for Computing Machinery}, author={Bossek, Jakob and Bischl, Bernd and Wagner, Tobias and Rudolph, Günter}, year={2015}, pages={1319–1326}, collection={GECCO ’15} }","ama":"Bossek J, Bischl B, Wagner T, Rudolph G. Learning Feature-Parameter Mappings for Parameter Tuning via the Profile Expected Improvement. In: <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>. GECCO ’15. Association for Computing Machinery; 2015:1319–1326. doi:<a href=\"https://doi.org/10.1145/2739480.2754673\">10.1145/2739480.2754673</a>","chicago":"Bossek, Jakob, Bernd Bischl, Tobias Wagner, and Günter Rudolph. “Learning Feature-Parameter Mappings for Parameter Tuning via the Profile Expected Improvement.” In <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, 1319–1326. GECCO ’15. New York, NY, USA: Association for Computing Machinery, 2015. <a href=\"https://doi.org/10.1145/2739480.2754673\">https://doi.org/10.1145/2739480.2754673</a>.","ieee":"J. Bossek, B. Bischl, T. Wagner, and G. Rudolph, “Learning Feature-Parameter Mappings for Parameter Tuning via the Profile Expected Improvement,” in <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, 2015, pp. 1319–1326, doi: <a href=\"https://doi.org/10.1145/2739480.2754673\">10.1145/2739480.2754673</a>."},"page":"1319–1326","year":"2015","place":"New York, NY, USA","publication_status":"published","publication_identifier":{"isbn":["978-1-4503-3472-3"]},"doi":"10.1145/2739480.2754673","title":"Learning Feature-Parameter Mappings for Parameter Tuning via the Profile Expected Improvement","date_created":"2023-11-14T15:58:51Z","author":[{"last_name":"Bossek","orcid":"0000-0002-4121-4668","full_name":"Bossek, Jakob","id":"102979","first_name":"Jakob"},{"first_name":"Bernd","last_name":"Bischl","full_name":"Bischl, Bernd"},{"first_name":"Tobias","full_name":"Wagner, Tobias","last_name":"Wagner"},{"first_name":"Günter","last_name":"Rudolph","full_name":"Rudolph, Günter"}],"date_updated":"2023-12-13T10:40:30Z","publisher":"Association for Computing Machinery","status":"public","abstract":[{"lang":"eng","text":"The majority of algorithms can be controlled or adjusted by parameters. Their values can substantially affect the algorithms’ performance. Since the manual exploration of the parameter space is tedious – even for few parameters – several automatic procedures for parameter tuning have been proposed. Recent approaches also take into account some characteristic properties of the problem instances, frequently termed instance features. Our contribution is the proposal of a novel concept for feature-based algorithm parameter tuning, which applies an approximating surrogate model for learning the continuous feature-parameter mapping. To accomplish this, we learn a joint model of the algorithm performance based on both the algorithm parameters and the instance features. The required data is gathered using a recently proposed acquisition function for model refinement in surrogate-based optimization: the profile expected improvement. This function provides an avenue for maximizing the information required for the feature-parameter mapping, i.e., the mapping from instance features to the corresponding optimal algorithm parameters. The approach is validated by applying the tuner to exemplary evolutionary algorithms and problems, for which theoretically grounded or heuristically determined feature-parameter mappings are available."}],"type":"conference","publication":"Proceedings of the Genetic and Evolutionary Computation Conference","language":[{"iso":"eng"}],"extern":"1","keyword":["evolutionary algorithms","model-based optimization","parameter tuning"],"series_title":"GECCO ’15","user_id":"102979","department":[{"_id":"819"}],"_id":"48838"},{"intvolume":"      1292","citation":{"apa":"Weber, J., Minhee, C., Lee, M., Song, S., Geierhos, M., &#38; Jung, H. (2014). System Thinking: Crafting Scenarios for Prescriptive Analytics. In H. Jung, T. Mandl, C. Womsen-Hacker, &#38; S. Xu (Eds.), <i>Proceedings of the First International Workshop on Patent Mining and Its Applications (IPaMin 2014) co-located with Konvens 2014</i> (Vol. 1292). Hildesheim, Germany: CEUR-WS.org.","short":"J. Weber, C. Minhee, M. Lee, S. Song, M. Geierhos, H. Jung, in: H. Jung, T. Mandl, C. Womsen-Hacker, S. Xu (Eds.), Proceedings of the First International Workshop on Patent Mining and Its Applications (IPaMin 2014) Co-Located with Konvens 2014, CEUR-WS.org, 2014.","bibtex":"@inproceedings{Weber_Minhee_Lee_Song_Geierhos_Jung_2014, series={CEUR Workshop Proceedings}, title={System Thinking: Crafting Scenarios for Prescriptive Analytics}, volume={1292}, booktitle={Proceedings of the First International Workshop on Patent Mining and Its Applications (IPaMin 2014) co-located with Konvens 2014}, publisher={CEUR-WS.org}, author={Weber, Jens and Minhee, Cho and Lee, Mikyoung and Song, Sa-kwang and Geierhos, Michaela and Jung, Hanmin}, editor={Jung, Hanmin and Mandl, Thomas and Womsen-Hacker, Christa and Xu, ShuoEditors}, year={2014}, collection={CEUR Workshop Proceedings} }","mla":"Weber, Jens, et al. “System Thinking: Crafting Scenarios for Prescriptive Analytics.” <i>Proceedings of the First International Workshop on Patent Mining and Its Applications (IPaMin 2014) Co-Located with Konvens 2014</i>, edited by Hanmin Jung et al., vol. 1292, CEUR-WS.org, 2014.","ieee":"J. Weber, C. Minhee, M. Lee, S. Song, M. Geierhos, and H. Jung, “System Thinking: Crafting Scenarios for Prescriptive Analytics,” in <i>Proceedings of the First International Workshop on Patent Mining and Its Applications (IPaMin 2014) co-located with Konvens 2014</i>, Hildesheim, Germany, 2014, vol. 1292.","chicago":"Weber, Jens, Cho Minhee, Mikyoung Lee, Sa-kwang Song, Michaela Geierhos, and Hanmin Jung. “System Thinking: Crafting Scenarios for Prescriptive Analytics.” In <i>Proceedings of the First International Workshop on Patent Mining and Its Applications (IPaMin 2014) Co-Located with Konvens 2014</i>, edited by Hanmin Jung, Thomas Mandl, Christa Womsen-Hacker, and Shuo Xu, Vol. 1292. CEUR Workshop Proceedings. CEUR-WS.org, 2014.","ama":"Weber J, Minhee C, Lee M, Song S, Geierhos M, Jung H. System Thinking: Crafting Scenarios for Prescriptive Analytics. In: Jung H, Mandl T, Womsen-Hacker C, Xu S, eds. <i>Proceedings of the First International Workshop on Patent Mining and Its Applications (IPaMin 2014) Co-Located with Konvens 2014</i>. Vol 1292. CEUR Workshop Proceedings. CEUR-WS.org; 2014."},"publication_identifier":{"issn":["16130073"]},"publication_status":"published","conference":{"name":"First International Workshop on Patent Mining and Its Applications (IPaMin 2014)","start_date":"2014-10-06","end_date":"2014-10-07","location":"Hildesheim, Germany"},"main_file_link":[{"url":"http://ceur-ws.org/Vol-1292/ipamin2014_paper1.pdf","open_access":"1"}],"volume":1292,"author":[{"first_name":"Jens","full_name":"Weber, Jens","last_name":"Weber"},{"first_name":"Cho","last_name":"Minhee","full_name":"Minhee, Cho"},{"last_name":"Lee","full_name":"Lee, Mikyoung","first_name":"Mikyoung"},{"last_name":"Song","full_name":"Song, Sa-kwang","first_name":"Sa-kwang"},{"first_name":"Michaela","id":"42496","full_name":"Geierhos, Michaela","last_name":"Geierhos","orcid":"0000-0002-8180-5606"},{"full_name":"Jung, Hanmin","last_name":"Jung","first_name":"Hanmin"}],"date_updated":"2022-01-06T06:50:59Z","oa":"1","status":"public","editor":[{"full_name":"Jung, Hanmin","last_name":"Jung","first_name":"Hanmin"},{"first_name":"Thomas","full_name":"Mandl, Thomas","last_name":"Mandl"},{"full_name":"Womsen-Hacker, Christa","last_name":"Womsen-Hacker","first_name":"Christa"},{"full_name":"Xu, Shuo","last_name":"Xu","first_name":"Shuo"}],"type":"conference","department":[{"_id":"36"},{"_id":"1"},{"_id":"579"}],"series_title":"CEUR Workshop Proceedings","user_id":"42496","_id":"1134","year":"2014","quality_controlled":"1","title":"System Thinking: Crafting Scenarios for Prescriptive Analytics","date_created":"2018-01-30T15:27:08Z","publisher":"CEUR-WS.org","abstract":[{"text":"This paper focuses on the first step in combining prescriptive analytics with scenario techniques in order to provide strategicdevelopment after the useof InSciTe, a data prescriptive analytics application. InSciTe supports the improvement of researchers‘ individual performance by recommending new research directions. Standardized influential factors are presented as a foundation for automated scenario modelling such as the prototypical report generation function of InSciTe. Additionally, a use-case is shown which validatesthe potential of the standardized influential factors for raw scenario development.","lang":"eng"}],"publication":"Proceedings of the First International Workshop on Patent Mining and Its Applications (IPaMin 2014) co-located with Konvens 2014","language":[{"iso":"eng"}],"keyword":["Standardized Influential Factors","Prescriptive Analytics","Role Model Group","Scenario Technique"]},{"conference":{"location":"Leuven","end_date":"2014-08-22","start_date":"2014-08-20","name":"SIG4 Higher Education & SIG17 Qualitative and Quantitative Approaches to Learning and Instruction Earli SIG Conference 2014"},"title":"The crucial first year: The development of students' motivation at a Business School-a Mixed Methods Study","author":[{"first_name":"Taiga","last_name":"Brahm","full_name":"Brahm, Taiga"},{"id":"71994","full_name":"Jenert, Tobias","last_name":"Jenert","orcid":" https://orcid.org/0000-0001-9262-5646","first_name":"Tobias"}],"date_created":"2018-09-19T08:06:46Z","date_updated":"2022-01-06T07:01:06Z","citation":{"ieee":"T. Brahm and T. Jenert, “The crucial first year: The development of students’ motivation at a Business School-a Mixed Methods Study,” presented at the SIG4 Higher Education &#38; SIG17 Qualitative and Quantitative Approaches to Learning and Instruction Earli SIG Conference 2014, Leuven, 2014.","chicago":"Brahm, Taiga, and Tobias Jenert. “The Crucial First Year: The Development of Students’ Motivation at a Business School-a Mixed Methods Study,” 2014.","ama":"Brahm T, Jenert T. The crucial first year: The development of students’ motivation at a Business School-a Mixed Methods Study. In: ; 2014.","apa":"Brahm, T., &#38; Jenert, T. (2014). The crucial first year: The development of students’ motivation at a Business School-a Mixed Methods Study. Presented at the SIG4 Higher Education &#38; SIG17 Qualitative and Quantitative Approaches to Learning and Instruction Earli SIG Conference 2014, Leuven.","short":"T. Brahm, T. Jenert, in: 2014.","mla":"Brahm, Taiga, and Tobias Jenert. <i>The Crucial First Year: The Development of Students’ Motivation at a Business School-a Mixed Methods Study</i>. 2014.","bibtex":"@inproceedings{Brahm_Jenert_2014, title={The crucial first year: The development of students’ motivation at a Business School-a Mixed Methods Study}, author={Brahm, Taiga and Jenert, Tobias}, year={2014} }"},"year":"2014","extern":"1","keyword":["motivation","business school","higher education","latent growth curve model","longitudinal study","mixed methods","interview","students"],"user_id":"51057","department":[{"_id":"208"},{"_id":"282"}],"_id":"4474","status":"public","abstract":[{"text":"The transition from school to university can be overwhelming for some students. While students' motivation is considered a strong predictor of performance, the development of motivation during students' transition from high school to university has rarely been investigated. Additionally, little is known about the relation of motivational aspects with other influences on study performance. The present mixed methods study addresses this research gap and examines the development of economics students' study motivation. The longitudinal mixed-method study included three waves of data collected using quantitative surveys and a series of five interviews conducted with 14 first-year students over eight months. Regarding students' development over time, the quantitative analysis showed a gradual decline in students' motivation. However, in the interviews, certain events during the first year were identified as critical incidents demotivating students. These insights into the development of students' motivation at a business school show that concrete incidents influence students' motivational development; thus, they could be transformed by structural changes.","lang":"eng"}],"type":"conference"},{"quality_controlled":"1","citation":{"apa":"Althoff, S., Neuhaus, J., Hemsel, T., &#38; Sextro, W. (2014). Improving the bond quality of copper wire bonds using a friction model approach. In <i>Electronic Components and Technology Conference (ECTC), 2014 IEEE 64th</i> (pp. 1549–1555). <a href=\"https://doi.org/10.1109/ECTC.2014.6897500\">https://doi.org/10.1109/ECTC.2014.6897500</a>","bibtex":"@inproceedings{Althoff_Neuhaus_Hemsel_Sextro_2014, title={Improving the bond quality of copper wire bonds using a friction model approach}, DOI={<a href=\"https://doi.org/10.1109/ECTC.2014.6897500\">10.1109/ECTC.2014.6897500</a>}, booktitle={Electronic Components and Technology Conference (ECTC), 2014 IEEE 64th}, author={Althoff, Simon and Neuhaus, Jan and Hemsel, Tobias and Sextro, Walter}, year={2014}, pages={1549–1555} }","short":"S. Althoff, J. Neuhaus, T. Hemsel, W. Sextro, in: Electronic Components and Technology Conference (ECTC), 2014 IEEE 64th, 2014, pp. 1549–1555.","mla":"Althoff, Simon, et al. “Improving the Bond Quality of Copper Wire Bonds Using a Friction Model Approach.” <i>Electronic Components and Technology Conference (ECTC), 2014 IEEE 64th</i>, 2014, pp. 1549–55, doi:<a href=\"https://doi.org/10.1109/ECTC.2014.6897500\">10.1109/ECTC.2014.6897500</a>.","ieee":"S. Althoff, J. Neuhaus, T. Hemsel, and W. Sextro, “Improving the bond quality of copper wire bonds using a friction model approach,” in <i>Electronic Components and Technology Conference (ECTC), 2014 IEEE 64th</i>, 2014, pp. 1549–1555.","chicago":"Althoff, Simon, Jan Neuhaus, Tobias Hemsel, and Walter Sextro. “Improving the Bond Quality of Copper Wire Bonds Using a Friction Model Approach.” In <i>Electronic Components and Technology Conference (ECTC), 2014 IEEE 64th</i>, 1549–55, 2014. <a href=\"https://doi.org/10.1109/ECTC.2014.6897500\">https://doi.org/10.1109/ECTC.2014.6897500</a>.","ama":"Althoff S, Neuhaus J, Hemsel T, Sextro W. Improving the bond quality of copper wire bonds using a friction model approach. In: <i>Electronic Components and Technology Conference (ECTC), 2014 IEEE 64th</i>. ; 2014:1549-1555. doi:<a href=\"https://doi.org/10.1109/ECTC.2014.6897500\">10.1109/ECTC.2014.6897500</a>"},"page":"1549-1555","year":"2014","date_created":"2019-05-20T12:11:44Z","author":[{"last_name":"Althoff","full_name":"Althoff, Simon","first_name":"Simon"},{"first_name":"Jan","last_name":"Neuhaus","full_name":"Neuhaus, Jan"},{"first_name":"Tobias","id":"210","full_name":"Hemsel, Tobias","last_name":"Hemsel"},{"last_name":"Sextro","id":"21220","full_name":"Sextro, Walter","first_name":"Walter"}],"date_updated":"2019-09-16T10:57:58Z","doi":"10.1109/ECTC.2014.6897500","title":"Improving the bond quality of copper wire bonds using a friction model approach","type":"conference","publication":"Electronic Components and Technology Conference (ECTC), 2014 IEEE 64th","status":"public","abstract":[{"lang":"eng","text":"In order to increase mechanical strength, heat dissipation and ampacity and to decrease failure through fatigue fracture, wedge copper wire bonding is being introduced as a standard interconnection method for mass production. To achieve the same process stability when using copper wire instead of aluminum wire a profound understanding of the bonding process is needed. Due to the higher hardness of copper compared to aluminum wire it is more difficult to approach the surfaces of wire and substrate to a level where van der Waals forces are able to arise between atoms. Also, enough friction energy referred to the total contact area has to be generated to activate the surfaces. Therefore, a friction model is used to simulate the joining process. This model calculates the resulting energy of partial areas in the contact surface and provides information about the adhesion process of each area. The focus here is on the arising of micro joints in the contact area depending on the location in the contact and time. To validate the model, different touchdown forces are used to vary the initial contact areas of wire and substrate. Additionally, a piezoelectric tri-axial force sensor is built up to identify the known phases of pre-deforming, cleaning, adhering and diffusing for the real bonding process to map with the model. Test substrates as DBC and copper plate are used to show the different formations of a wedge bond connection due to hardness and reaction propensity. The experiments were done by using 500 $\\mu$m copper wire and a standard V-groove tool."}],"user_id":"55222","department":[{"_id":"151"}],"_id":"9868","language":[{"iso":"eng"}],"keyword":["adhesion","circuit reliability","deformation","diffusion","fatigue cracks","friction","interconnections","lead bonding","van der Waals forces","Cu","adhering process","adhesion process","ampacity improvement","bond quality improvement","cleaning process","diffusing process","fatigue fracture failure","friction energy","friction model","heat dissipation","mechanical strength","piezoelectric triaxial force sensor","predeforming process","size 500 mum","total contact area","van der Waals forces","wedge copper wire bonding","Bonding","Copper","Finite element analysis","Force","Friction","Substrates","Wires"]},{"doi":"10.1109/ICPHM.2014.7036406","title":"PEM fuel cell prognostics using particle filter with model parameter adaptation","date_created":"2019-05-20T13:11:02Z","author":[{"last_name":"Kimotho","full_name":"Kimotho, James Kuria ","first_name":"James Kuria "},{"first_name":"Tobias","full_name":"Meyer, Tobias","last_name":"Meyer"},{"first_name":"Walter","last_name":"Sextro","id":"21220","full_name":"Sextro, Walter"}],"date_updated":"2019-05-20T13:12:27Z","citation":{"apa":"Kimotho, J. K., Meyer, T., &#38; Sextro, W. (2014). PEM fuel cell prognostics using particle filter with model parameter adaptation. In <i>Prognostics and Health Management (PHM), 2014 IEEE Conference on</i> (pp. 1–6). <a href=\"https://doi.org/10.1109/ICPHM.2014.7036406\">https://doi.org/10.1109/ICPHM.2014.7036406</a>","short":"J.K. Kimotho, T. Meyer, W. Sextro, in: Prognostics and Health Management (PHM), 2014 IEEE Conference On, 2014, pp. 1–6.","bibtex":"@inproceedings{Kimotho_Meyer_Sextro_2014, title={PEM fuel cell prognostics using particle filter with model parameter adaptation}, DOI={<a href=\"https://doi.org/10.1109/ICPHM.2014.7036406\">10.1109/ICPHM.2014.7036406</a>}, booktitle={Prognostics and Health Management (PHM), 2014 IEEE Conference on}, author={Kimotho, James Kuria  and Meyer, Tobias and Sextro, Walter}, year={2014}, pages={1–6} }","mla":"Kimotho, James Kuria, et al. “PEM Fuel Cell Prognostics Using Particle Filter with Model Parameter Adaptation.” <i>Prognostics and Health Management (PHM), 2014 IEEE Conference On</i>, 2014, pp. 1–6, doi:<a href=\"https://doi.org/10.1109/ICPHM.2014.7036406\">10.1109/ICPHM.2014.7036406</a>.","chicago":"Kimotho, James Kuria , Tobias Meyer, and Walter Sextro. “PEM Fuel Cell Prognostics Using Particle Filter with Model Parameter Adaptation.” In <i>Prognostics and Health Management (PHM), 2014 IEEE Conference On</i>, 1–6, 2014. <a href=\"https://doi.org/10.1109/ICPHM.2014.7036406\">https://doi.org/10.1109/ICPHM.2014.7036406</a>.","ieee":"J. K. Kimotho, T. Meyer, and W. Sextro, “PEM fuel cell prognostics using particle filter with model parameter adaptation,” in <i>Prognostics and Health Management (PHM), 2014 IEEE Conference on</i>, 2014, pp. 1–6.","ama":"Kimotho JK, Meyer T, Sextro W. PEM fuel cell prognostics using particle filter with model parameter adaptation. In: <i>Prognostics and Health Management (PHM), 2014 IEEE Conference On</i>. ; 2014:1-6. doi:<a href=\"https://doi.org/10.1109/ICPHM.2014.7036406\">10.1109/ICPHM.2014.7036406</a>"},"page":"1-6","year":"2014","language":[{"iso":"eng"}],"keyword":["ageing","particle filtering (numerical methods)","proton exchange membrane fuel cells","remaining life assessment","PEM fuel cell prognostics","PHM","RUL predictions","accelerated degradation","adaptive particle filter algorithm","dynamic loading","model parameter adaptation","prognostics and health management","proton exchange membrane fuel cells","remaining useful life estimation","self-healing effect","Adaptation models","Data models","Degradation","Estimation","Fuel cells","Mathematical model","Prognostics and health management"],"user_id":"55222","department":[{"_id":"151"}],"_id":"9879","status":"public","abstract":[{"lang":"eng","text":"Application of prognostics and health management (PHM) in the field of Proton Exchange Membrane (PEM) fuel cells is emerging as an important tool in increasing the reliability and availability of these systems. Though a lot of work is currently being conducted to develop PHM systems for fuel cells, various challenges have been encountered including the self-healing effect after characterization as well as accelerated degradation due to dynamic loading, all which make RUL predictions a difficult task. In this study, a prognostic approach based on adaptive particle filter algorithm is proposed. The novelty of the proposed method lies in the introduction of a self-healing factor after each characterization and the adaption of the degradation model parameters to fit to the changing degradation trend. An ensemble of five different state models based on weighted mean is then developed. The results show that the method is effective in estimating the remaining useful life of PEM fuel cells, with majority of the predictions falling within 5\\% error. The method was employed in the IEEE 2014 PHM Data Challenge and led to our team emerging the winner of the RUL category of the challenge."}],"type":"conference","publication":"Prognostics and Health Management (PHM), 2014 IEEE Conference on"},{"department":[{"_id":"151"}],"user_id":"55222","_id":"9880","language":[{"iso":"eng"}],"keyword":["autoregressive model ELM feature extraction feature selection non-trending Remaining useful Life"],"publication":"Proceedings of the Second European Conference of the Prognostics and Health Management Society 2014","type":"conference","status":"public","abstract":[{"lang":"eng","text":"With the paradigm shift towards prognostic and health management (PHM) of machinery, there is need for reliable PHM methodologies with narrow error bounds to allow maintenance engineers take decisive maintenance actions based on the prognostic results. Prognostics is mainly concerned with the estimation of the remaining useful life (RUL) or time to failure (TTF). The accuracy of PHM methods is usually a function of the features extracted from the raw data obtained from sensors. In cases where the extracted features do not display clear degradation trends, for instance highly loaded bearings, the accuracy of the state of the art PHM methods is significantly affected. The data which lacks clear degradation trend is referred to as non-trending data. This study presents a method for extracting degradation trends from non-trending condition monitoring data for RUL estimation. The raw signals are first filtered using a discrete wavelet transform (DWT) denoising filter to remove noise from the acquired signals. Time domain, frequency domain and time-frequency domain features are then extracted from the filtered signals. An autoregressive model is then applied to the extracted features to identify the degradation trends. Features representing the maximum health information are then selected based on a performance evaluation criteria using extreme learning machine (ELM) algorithm. The selected features can then be used as inputs in a prognostic algorithm. The feasibility of the method is demonstrated using experimental bearing vibration data. The performance of the method is evaluated on the accuracy of RUL estimation and the results show that the method can be used to accurately estimate RUL with a maximum error of 10\\%."}],"volume":5,"author":[{"last_name":"Kimotho","full_name":"Kimotho, James Kuria","first_name":"James Kuria"},{"first_name":"Walter","last_name":"Sextro","full_name":"Sextro, Walter","id":"21220"}],"date_created":"2019-05-20T13:13:00Z","date_updated":"2019-09-16T10:37:35Z","title":"An approach for feature extraction and selection from non-trending data for machinery prognosis","quality_controlled":"1","intvolume":"         5","citation":{"chicago":"Kimotho, James Kuria, and Walter Sextro. “An Approach for Feature Extraction and Selection from Non-Trending Data for Machinery Prognosis.” In <i>Proceedings of the Second European Conference of the Prognostics and Health Management Society 2014</i>, Vol. 5, 2014.","ieee":"J. K. Kimotho and W. Sextro, “An approach for feature extraction and selection from non-trending data for machinery prognosis,” in <i>Proceedings of the Second European Conference of the Prognostics and Health Management Society 2014</i>, 2014, vol. 5.","ama":"Kimotho JK, Sextro W. An approach for feature extraction and selection from non-trending data for machinery prognosis. In: <i>Proceedings of the Second European Conference of the Prognostics and Health Management Society 2014</i>. Vol 5. ; 2014.","apa":"Kimotho, J. K., &#38; Sextro, W. (2014). An approach for feature extraction and selection from non-trending data for machinery prognosis. In <i>Proceedings of the Second European Conference of the Prognostics and Health Management Society 2014</i> (Vol. 5).","short":"J.K. Kimotho, W. Sextro, in: Proceedings of the Second European Conference of the Prognostics and Health Management Society 2014, 2014.","mla":"Kimotho, James Kuria, and Walter Sextro. “An Approach for Feature Extraction and Selection from Non-Trending Data for Machinery Prognosis.” <i>Proceedings of the Second European Conference of the Prognostics and Health Management Society 2014</i>, vol. 5, 2014.","bibtex":"@inproceedings{Kimotho_Sextro_2014, title={An approach for feature extraction and selection from non-trending data for machinery prognosis}, volume={5}, booktitle={Proceedings of the Second European Conference of the Prognostics and Health Management Society 2014}, author={Kimotho, James Kuria and Sextro, Walter}, year={2014} }"},"year":"2014"},{"status":"public","abstract":[{"text":"Power semiconductor modules are used to control and switch high electrical currents and voltages. Within the power module package wire bonding is used as an interconnection technology. In recent years, aluminum wire has been used preferably, but an ever-growing market of powerful and efficient power modules requires a material with better mechanical and electrical properties. For this reason, a technology change from aluminum to copper is indispensable. However, the copper wire bonding process reacts more sensitive to parameter changes. This makes manufacturing reliable copper bond connections a challenging task. The aim of the BMBF funded project Itsowl-InCuB is the development of self-optimizing techniques to enable the reliable production of copper bond connections under varying conditions. A model of the process is essential to achieve this aim. This model needs to include the dynamic elasto-plastic deformation, the ultrasonic softening effect and the proceeding adhesion between wire and substrate. This paper focusses on the pre-deformation process. In the touchdown phase, the wire is pressed into the V-groove of the tool and a small initial contact area between wire and substrate arise. The local characteristics of the material change abruptly because of the cold forming. Consequently, the pre-deformation has a strong effect on the joining process. In [1], a pre-cleaning effect during the touchdown process of aluminum wires by cracking of oxide layers was presented. These interactions of the process parameters are still largely unknown for copper. In a first step, this paper validates the importance of modeling the pre-deformation by showing its impact on the wire deformation characteristic experimentally. Creating cross-section views of pre-deformed copper wires has shown a low deformation degree compared to aluminum. By using a digital microscope and a scanning confocal microscope an analysis about the contact areas and penetration depths after touchdown has been made. Additionally, it has to be taken into account that the dynamical touchdown force depends on the touchdown speed and the touchdown force set in the bonding machine. In order to measure the overshoot in the force signals, a strain gauge sensor has been used. Subsequently, the affecting factors have been interpreted independently Furthermore, the material properties of copper wire have been investigated with tensile tests and hardness measurements. In a second step, the paper presents finite element models of the touchdown process for source and destination bonds. These models take the measured overshoot in the touchdown forces into account. A multi-linear, isotropic material model has been selected to map the material properties of the copper. A validation of the model with the experimental determined contact areas, normal pressures and penetration depths reveals the high model quality. Thus, the simulation is able to calculate and visualize the three dimensional pre-deformation with an integrated material parameter of the wire if the touchdown parameters of the bonding machine are known. Based on the calculated deformation degrees of wire and substrate, it is probably possible to investigate the effect of the pre-deformation on the pre-cleaning phase in the copper wire bonding.","lang":"eng"}],"publication":"Proceedings of the 47th International Symposium on Microelectronics (IMAPS)","type":"conference","language":[{"iso":"eng"}],"keyword":["pre-deformation","copper wire bonding","finite element model"],"department":[{"_id":"151"}],"user_id":"210","_id":"9895","project":[{"name":"Intelligente Herstellung zuverlässiger Kupferbondverbindungen","_id":"92","grant_number":"02 PQ2210"}],"page":"289-294","citation":{"short":"A. Unger, W. Sextro, S. Althoff, P. Eichwald, T. Meyer, F. Eacock, M. Brökelmann, in: Proceedings of the 47th International Symposium on Microelectronics (IMAPS), San Diego, CA, US, 2014, pp. 289–294.","bibtex":"@inproceedings{Unger_Sextro_Althoff_Eichwald_Meyer_Eacock_Brökelmann_2014, place={San Diego, CA, US}, title={Experimental and Numerical Simulation Study of Pre-Deformed Heavy Copper Wire Wedge Bonds}, booktitle={Proceedings of the 47th International Symposium on Microelectronics (IMAPS)}, author={Unger, Andreas and Sextro, Walter and Althoff, Simon and Eichwald, Paul and Meyer, Tobias and Eacock, Florian and Brökelmann, Michael}, year={2014}, pages={289–294} }","mla":"Unger, Andreas, et al. “Experimental and Numerical Simulation Study of Pre-Deformed Heavy Copper Wire Wedge Bonds.” <i>Proceedings of the 47th International Symposium on Microelectronics (IMAPS)</i>, 2014, pp. 289–94.","apa":"Unger, A., Sextro, W., Althoff, S., Eichwald, P., Meyer, T., Eacock, F., &#38; Brökelmann, M. (2014). Experimental and Numerical Simulation Study of Pre-Deformed Heavy Copper Wire Wedge Bonds. In <i>Proceedings of the 47th International Symposium on Microelectronics (IMAPS)</i> (pp. 289–294). San Diego, CA, US.","ama":"Unger A, Sextro W, Althoff S, et al. Experimental and Numerical Simulation Study of Pre-Deformed Heavy Copper Wire Wedge Bonds. In: <i>Proceedings of the 47th International Symposium on Microelectronics (IMAPS)</i>. San Diego, CA, US; 2014:289-294.","ieee":"A. Unger <i>et al.</i>, “Experimental and Numerical Simulation Study of Pre-Deformed Heavy Copper Wire Wedge Bonds,” in <i>Proceedings of the 47th International Symposium on Microelectronics (IMAPS)</i>, 2014, pp. 289–294.","chicago":"Unger, Andreas, Walter Sextro, Simon Althoff, Paul Eichwald, Tobias Meyer, Florian Eacock, and Michael Brökelmann. “Experimental and Numerical Simulation Study of Pre-Deformed Heavy Copper Wire Wedge Bonds.” In <i>Proceedings of the 47th International Symposium on Microelectronics (IMAPS)</i>, 289–94. San Diego, CA, US, 2014."},"year":"2014","place":"San Diego, CA, US","title":"Experimental and Numerical Simulation Study of Pre-Deformed Heavy Copper Wire Wedge Bonds","date_created":"2019-05-20T13:35:09Z","author":[{"last_name":"Unger","full_name":"Unger, Andreas","first_name":"Andreas"},{"first_name":"Walter","id":"21220","full_name":"Sextro, Walter","last_name":"Sextro"},{"first_name":"Simon","full_name":"Althoff, Simon","last_name":"Althoff"},{"last_name":"Eichwald","full_name":"Eichwald, Paul","first_name":"Paul"},{"first_name":"Tobias","last_name":"Meyer","full_name":"Meyer, Tobias"},{"first_name":"Florian","full_name":"Eacock, Florian","last_name":"Eacock"},{"first_name":"Michael","full_name":"Brökelmann, Michael","last_name":"Brökelmann"}],"date_updated":"2020-05-07T05:33:47Z"},{"related_material":{"link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2014/DrChTrHaeb14_Poster.pdf","relation":"supplementary_material","description":"Poster"}]},"year":"2014","citation":{"apa":"Drude, L., Chinaev, A., Tran Vu, D. H., &#38; Haeb-Umbach, R. (2014). Towards Online Source Counting in Speech Mixtures Applying a Variational EM for Complex Watson Mixture Models. In <i>14th International Workshop on Acoustic Signal Enhancement (IWAENC 2014)</i> (pp. 213–217).","mla":"Drude, Lukas, et al. “Towards Online Source Counting in Speech Mixtures Applying a Variational EM for Complex Watson Mixture Models.” <i>14th International Workshop on Acoustic Signal Enhancement (IWAENC 2014)</i>, 2014, pp. 213–17.","short":"L. Drude, A. Chinaev, D.H. Tran Vu, R. Haeb-Umbach, in: 14th International Workshop on Acoustic Signal Enhancement (IWAENC 2014), 2014, pp. 213–217.","bibtex":"@inproceedings{Drude_Chinaev_Tran Vu_Haeb-Umbach_2014, title={Towards Online Source Counting in Speech Mixtures Applying a Variational EM for Complex Watson Mixture Models}, booktitle={14th International Workshop on Acoustic Signal Enhancement (IWAENC 2014)}, author={Drude, Lukas and Chinaev, Aleksej and Tran Vu, Dang Hai and Haeb-Umbach, Reinhold}, year={2014}, pages={213–217} }","ieee":"L. Drude, A. Chinaev, D. H. Tran Vu, and R. Haeb-Umbach, “Towards Online Source Counting in Speech Mixtures Applying a Variational EM for Complex Watson Mixture Models,” in <i>14th International Workshop on Acoustic Signal Enhancement (IWAENC 2014)</i>, 2014, pp. 213–217.","chicago":"Drude, Lukas, Aleksej Chinaev, Dang Hai Tran Vu, and Reinhold Haeb-Umbach. “Towards Online Source Counting in Speech Mixtures Applying a Variational EM for Complex Watson Mixture Models.” In <i>14th International Workshop on Acoustic Signal Enhancement (IWAENC 2014)</i>, 213–17, 2014.","ama":"Drude L, Chinaev A, Tran Vu DH, Haeb-Umbach R. Towards Online Source Counting in Speech Mixtures Applying a Variational EM for Complex Watson Mixture Models. In: <i>14th International Workshop on Acoustic Signal Enhancement (IWAENC 2014)</i>. ; 2014:213-217."},"page":"213-217","date_updated":"2022-01-06T06:51:08Z","oa":"1","date_created":"2019-07-12T05:27:35Z","author":[{"first_name":"Lukas","last_name":"Drude","full_name":"Drude, Lukas","id":"11213"},{"first_name":"Aleksej","last_name":"Chinaev","full_name":"Chinaev, Aleksej"},{"last_name":"Tran Vu","full_name":"Tran Vu, Dang Hai","first_name":"Dang Hai"},{"first_name":"Reinhold","last_name":"Haeb-Umbach","full_name":"Haeb-Umbach, Reinhold","id":"242"}],"title":"Towards Online Source Counting in Speech Mixtures Applying a Variational EM for Complex Watson Mixture Models","main_file_link":[{"open_access":"1","url":"https://groups.uni-paderborn.de/nt/pubs/2014/DrChTrHaeb14.pdf"}],"type":"conference","publication":"14th International Workshop on Acoustic Signal Enhancement (IWAENC 2014)","abstract":[{"text":"This contribution describes a step-wise source counting algorithm to determine the number of speakers in an offline scenario. Each speaker is identified by a variational expectation maximization (VEM) algorithm for complex Watson mixture models and therefore directly yields beamforming vectors for a subsequent speech separation process. An observation selection criterion is proposed which improves the robustness of the source counting in noise. The algorithm is compared to an alternative VEM approach with Gaussian mixture models based on directions of arrival and shown to deliver improved source counting accuracy. The article concludes by extending the offline algorithm towards a low-latency online estimation of the number of active sources from the streaming input data.","lang":"eng"}],"status":"public","_id":"11753","user_id":"44006","department":[{"_id":"54"}],"keyword":["Accuracy","Acoustics","Estimation","Mathematical model","Soruce separation","Speech","Vectors","Bayes methods","Blind source separation","Directional statistics","Number of speakers","Speaker diarization"],"language":[{"iso":"eng"}]},{"_id":"11861","department":[{"_id":"54"}],"user_id":"44006","keyword":["computational complexity","reverberation","speech recognition","automatic speech recognition","background noise","clean speech","computational complexity","energy compensation","logarithmic mel power spectral domain","mel frequency cepstral coefficients","microphone input signals","model-based feature compensation schemes","noisy reverberant speech automatic recognition","noisy reverberant speech features","reverberation","Atmospheric modeling","Computational modeling","Noise","Noise measurement","Reverberation","Speech","Vectors","Model-based feature compensation","observation model for reverberant and noisy speech","recursive observation model","robust automatic speech recognition"],"language":[{"iso":"eng"}],"publication":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","type":"journal_article","abstract":[{"text":"In this contribution we present a theoretical and experimental investigation into the effects of reverberation and noise on features in the logarithmic mel power spectral domain, an intermediate stage in the computation of the mel frequency cepstral coefficients, prevalent in automatic speech recognition (ASR). Gaining insight into the complex interaction between clean speech, noise, and noisy reverberant speech features is essential for any ASR system to be robust against noise and reverberation present in distant microphone input signals. The findings are gathered in a probabilistic formulation of an observation model which may be used in model-based feature compensation schemes. The proposed observation model extends previous models in three major directions: First, the contribution of additive background noise to the observation error is explicitly taken into account. Second, an energy compensation constant is introduced which ensures an unbiased estimate of the reverberant speech features, and, third, a recursive variant of the observation model is developed resulting in reduced computational complexity when used in model-based feature compensation. The experimental section is used to evaluate the accuracy of the model and to describe how its parameters can be determined from test data.","lang":"eng"}],"status":"public","date_updated":"2022-01-06T06:51:11Z","volume":22,"date_created":"2019-07-12T05:29:41Z","author":[{"first_name":"Volker","last_name":"Leutnant","full_name":"Leutnant, Volker"},{"full_name":"Krueger, Alexander","last_name":"Krueger","first_name":"Alexander"},{"first_name":"Reinhold","id":"242","full_name":"Haeb-Umbach, Reinhold","last_name":"Haeb-Umbach"}],"title":"A New Observation Model in the Logarithmic Mel Power Spectral Domain for the Automatic Recognition of Noisy Reverberant Speech","doi":"10.1109/TASLP.2013.2285480","publication_identifier":{"issn":["2329-9290"]},"issue":"1","year":"2014","intvolume":"        22","page":"95-109","citation":{"ama":"Leutnant V, Krueger A, Haeb-Umbach R. A New Observation Model in the Logarithmic Mel Power Spectral Domain for the Automatic Recognition of Noisy Reverberant Speech. <i>IEEE/ACM Transactions on Audio, Speech, and Language Processing</i>. 2014;22(1):95-109. doi:<a href=\"https://doi.org/10.1109/TASLP.2013.2285480\">10.1109/TASLP.2013.2285480</a>","chicago":"Leutnant, Volker, Alexander Krueger, and Reinhold Haeb-Umbach. “A New Observation Model in the Logarithmic Mel Power Spectral Domain for the Automatic Recognition of Noisy Reverberant Speech.” <i>IEEE/ACM Transactions on Audio, Speech, and Language Processing</i> 22, no. 1 (2014): 95–109. <a href=\"https://doi.org/10.1109/TASLP.2013.2285480\">https://doi.org/10.1109/TASLP.2013.2285480</a>.","ieee":"V. Leutnant, A. Krueger, and R. Haeb-Umbach, “A New Observation Model in the Logarithmic Mel Power Spectral Domain for the Automatic Recognition of Noisy Reverberant Speech,” <i>IEEE/ACM Transactions on Audio, Speech, and Language Processing</i>, vol. 22, no. 1, pp. 95–109, 2014.","apa":"Leutnant, V., Krueger, A., &#38; Haeb-Umbach, R. (2014). A New Observation Model in the Logarithmic Mel Power Spectral Domain for the Automatic Recognition of Noisy Reverberant Speech. <i>IEEE/ACM Transactions on Audio, Speech, and Language Processing</i>, <i>22</i>(1), 95–109. <a href=\"https://doi.org/10.1109/TASLP.2013.2285480\">https://doi.org/10.1109/TASLP.2013.2285480</a>","mla":"Leutnant, Volker, et al. “A New Observation Model in the Logarithmic Mel Power Spectral Domain for the Automatic Recognition of Noisy Reverberant Speech.” <i>IEEE/ACM Transactions on Audio, Speech, and Language Processing</i>, vol. 22, no. 1, 2014, pp. 95–109, doi:<a href=\"https://doi.org/10.1109/TASLP.2013.2285480\">10.1109/TASLP.2013.2285480</a>.","bibtex":"@article{Leutnant_Krueger_Haeb-Umbach_2014, title={A New Observation Model in the Logarithmic Mel Power Spectral Domain for the Automatic Recognition of Noisy Reverberant Speech}, volume={22}, DOI={<a href=\"https://doi.org/10.1109/TASLP.2013.2285480\">10.1109/TASLP.2013.2285480</a>}, number={1}, journal={IEEE/ACM Transactions on Audio, Speech, and Language Processing}, author={Leutnant, Volker and Krueger, Alexander and Haeb-Umbach, Reinhold}, year={2014}, pages={95–109} }","short":"V. Leutnant, A. Krueger, R. Haeb-Umbach, IEEE/ACM Transactions on Audio, Speech, and Language Processing 22 (2014) 95–109."}},{"doi":"10.1109/TASLP.2014.2304637","main_file_link":[{"open_access":"1","url":"http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6732927"}],"title":"An Overview of Noise-Robust Automatic Speech Recognition","volume":22,"author":[{"full_name":"Li, Jinyu","last_name":"Li","first_name":"Jinyu"},{"last_name":"Deng","full_name":"Deng, Li","first_name":"Li"},{"last_name":"Gong","full_name":"Gong, Yifan","first_name":"Yifan"},{"first_name":"Reinhold","full_name":"Haeb-Umbach, Reinhold","id":"242","last_name":"Haeb-Umbach"}],"date_created":"2019-07-12T05:29:47Z","oa":"1","date_updated":"2022-01-06T06:51:11Z","page":"745-777","intvolume":"        22","citation":{"chicago":"Li, Jinyu, Li Deng, Yifan Gong, and Reinhold Haeb-Umbach. “An Overview of Noise-Robust Automatic Speech Recognition.” <i>IEEE Transactions on Audio, Speech and Language Processing</i> 22, no. 4 (2014): 745–77. <a href=\"https://doi.org/10.1109/TASLP.2014.2304637\">https://doi.org/10.1109/TASLP.2014.2304637</a>.","ieee":"J. Li, L. Deng, Y. Gong, and R. Haeb-Umbach, “An Overview of Noise-Robust Automatic Speech Recognition,” <i>IEEE Transactions on Audio, Speech and Language Processing</i>, vol. 22, no. 4, pp. 745–777, 2014.","ama":"Li J, Deng L, Gong Y, Haeb-Umbach R. An Overview of Noise-Robust Automatic Speech Recognition. <i>IEEE Transactions on Audio, Speech and Language Processing</i>. 2014;22(4):745-777. doi:<a href=\"https://doi.org/10.1109/TASLP.2014.2304637\">10.1109/TASLP.2014.2304637</a>","apa":"Li, J., Deng, L., Gong, Y., &#38; Haeb-Umbach, R. (2014). An Overview of Noise-Robust Automatic Speech Recognition. <i>IEEE Transactions on Audio, Speech and Language Processing</i>, <i>22</i>(4), 745–777. <a href=\"https://doi.org/10.1109/TASLP.2014.2304637\">https://doi.org/10.1109/TASLP.2014.2304637</a>","mla":"Li, Jinyu, et al. “An Overview of Noise-Robust Automatic Speech Recognition.” <i>IEEE Transactions on Audio, Speech and Language Processing</i>, vol. 22, no. 4, 2014, pp. 745–77, doi:<a href=\"https://doi.org/10.1109/TASLP.2014.2304637\">10.1109/TASLP.2014.2304637</a>.","bibtex":"@article{Li_Deng_Gong_Haeb-Umbach_2014, title={An Overview of Noise-Robust Automatic Speech Recognition}, volume={22}, DOI={<a href=\"https://doi.org/10.1109/TASLP.2014.2304637\">10.1109/TASLP.2014.2304637</a>}, number={4}, journal={IEEE Transactions on Audio, Speech and Language Processing}, author={Li, Jinyu and Deng, Li and Gong, Yifan and Haeb-Umbach, Reinhold}, year={2014}, pages={745–777} }","short":"J. Li, L. Deng, Y. Gong, R. Haeb-Umbach, IEEE Transactions on Audio, Speech and Language Processing 22 (2014) 745–777."},"year":"2014","issue":"4","language":[{"iso":"eng"}],"keyword":["Speech recognition","compensation","distortion modeling","joint model training","noise","robustness","uncertainty processing"],"department":[{"_id":"54"}],"user_id":"44006","_id":"11867","status":"public","abstract":[{"text":"New waves of consumer-centric applications, such as voice search and voice interaction with mobile devices and home entertainment systems, increasingly require automatic speech recognition (ASR) to be robust to the full range of real-world noise and other acoustic distorting conditions. Despite its practical importance, however, the inherent links between and distinctions among the myriad of methods for noise-robust ASR have yet to be carefully studied in order to advance the field further. To this end, it is critical to establish a solid, consistent, and common mathematical foundation for noise-robust ASR, which is lacking at present. This article is intended to fill this gap and to provide a thorough overview of modern noise-robust techniques for ASR developed over the past 30 years. We emphasize methods that are proven to be successful and that are likely to sustain or expand their future applicability. We distill key insights from our comprehensive overview in this field and take a fresh look at a few old problems, which nevertheless are still highly relevant today. Specifically, we have analyzed and categorized a wide range of noise-robust techniques using five different criteria: 1) feature-domain vs. model-domain processing, 2) the use of prior knowledge about the acoustic environment distortion, 3) the use of explicit environment-distortion models, 4) deterministic vs. uncertainty processing, and 5) the use of acoustic models trained jointly with the same feature enhancement or model adaptation process used in the testing stage. With this taxonomy-oriented review, we equip the reader with the insight to choose among techniques and with the awareness of the performance-complexity tradeoffs. The pros and cons of using different noise-robust ASR techniques in practical application scenarios are provided as a guide to interested practitioners. The current challenges and future research directions in this field is also carefully analyzed.","lang":"eng"}],"publication":"IEEE Transactions on Audio, Speech and Language Processing","type":"journal_article"},{"type":"conference","publication":"38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013)","status":"public","abstract":[{"lang":"eng","text":"In this contribution we derive the Maximum A-Posteriori (MAP) estimates of the parameters of a Gaussian Mixture Model (GMM) in the presence of noisy observations. We assume the distortion to be white Gaussian noise of known mean and variance. An approximate conjugate prior of the GMM parameters is derived allowing for a computationally efficient implementation in a sequential estimation framework. Simulations on artificially generated data demonstrate the superiority of the proposed method compared to the Maximum Likelihood technique and to the ordinary MAP approach, whose estimates are corrected by the known statistics of the distortion in a straightforward manner."}],"user_id":"44006","department":[{"_id":"54"}],"_id":"11740","language":[{"iso":"eng"}],"keyword":["Gaussian noise","maximum likelihood estimation","parameter estimation","GMM parameter","Gaussian mixture model","MAP estimation","Map-based estimation","maximum a-posteriori estimation","maximum likelihood technique","noisy observation","sequential estimation framework","white Gaussian noise","Additive noise","Gaussian mixture model","Maximum likelihood estimation","Noise measurement","Gaussian mixture model","Maximum a posteriori estimation","Maximum likelihood estimation"],"related_material":{"link":[{"relation":"supplementary_material","description":"Poster","url":"https://groups.uni-paderborn.de/nt/pubs/2013/ChHa13_Poster.pdf"}]},"publication_identifier":{"issn":["1520-6149"]},"citation":{"apa":"Chinaev, A., &#38; Haeb-Umbach, R. (2013). MAP-based Estimation of the Parameters of a Gaussian Mixture Model in the Presence of Noisy Observations. In <i>38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013)</i> (pp. 3352–3356). <a href=\"https://doi.org/10.1109/ICASSP.2013.6638279\">https://doi.org/10.1109/ICASSP.2013.6638279</a>","short":"A. Chinaev, R. Haeb-Umbach, in: 38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013), 2013, pp. 3352–3356.","bibtex":"@inproceedings{Chinaev_Haeb-Umbach_2013, title={MAP-based Estimation of the Parameters of a Gaussian Mixture Model in the Presence of Noisy Observations}, DOI={<a href=\"https://doi.org/10.1109/ICASSP.2013.6638279\">10.1109/ICASSP.2013.6638279</a>}, booktitle={38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013)}, author={Chinaev, Aleksej and Haeb-Umbach, Reinhold}, year={2013}, pages={3352–3356} }","mla":"Chinaev, Aleksej, and Reinhold Haeb-Umbach. “MAP-Based Estimation of the Parameters of a Gaussian Mixture Model in the Presence of Noisy Observations.” <i>38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013)</i>, 2013, pp. 3352–56, doi:<a href=\"https://doi.org/10.1109/ICASSP.2013.6638279\">10.1109/ICASSP.2013.6638279</a>.","ama":"Chinaev A, Haeb-Umbach R. MAP-based Estimation of the Parameters of a Gaussian Mixture Model in the Presence of Noisy Observations. In: <i>38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013)</i>. ; 2013:3352-3356. doi:<a href=\"https://doi.org/10.1109/ICASSP.2013.6638279\">10.1109/ICASSP.2013.6638279</a>","chicago":"Chinaev, Aleksej, and Reinhold Haeb-Umbach. “MAP-Based Estimation of the Parameters of a Gaussian Mixture Model in the Presence of Noisy Observations.” In <i>38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013)</i>, 3352–56, 2013. <a href=\"https://doi.org/10.1109/ICASSP.2013.6638279\">https://doi.org/10.1109/ICASSP.2013.6638279</a>.","ieee":"A. Chinaev and R. Haeb-Umbach, “MAP-based Estimation of the Parameters of a Gaussian Mixture Model in the Presence of Noisy Observations,” in <i>38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013)</i>, 2013, pp. 3352–3356."},"page":"3352-3356","year":"2013","date_created":"2019-07-12T05:27:20Z","author":[{"first_name":"Aleksej","full_name":"Chinaev, Aleksej","last_name":"Chinaev"},{"first_name":"Reinhold","full_name":"Haeb-Umbach, Reinhold","id":"242","last_name":"Haeb-Umbach"}],"date_updated":"2022-01-06T06:51:08Z","oa":"1","main_file_link":[{"open_access":"1","url":"https://groups.uni-paderborn.de/nt/pubs/2013/ChHa13.pdf"}],"doi":"10.1109/ICASSP.2013.6638279","title":"MAP-based Estimation of the Parameters of a Gaussian Mixture Model in the Presence of Noisy Observations"},{"citation":{"apa":"Leutnant, V., Krueger, A., &#38; Haeb-Umbach, R. (2013). Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition. <i>IEEE Transactions on Audio, Speech, and Language Processing</i>, <i>21</i>(8), 1640–1652. <a href=\"https://doi.org/10.1109/TASL.2013.2258013\">https://doi.org/10.1109/TASL.2013.2258013</a>","short":"V. Leutnant, A. Krueger, R. Haeb-Umbach, IEEE Transactions on Audio, Speech, and Language Processing 21 (2013) 1640–1652.","bibtex":"@article{Leutnant_Krueger_Haeb-Umbach_2013, title={Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition}, volume={21}, DOI={<a href=\"https://doi.org/10.1109/TASL.2013.2258013\">10.1109/TASL.2013.2258013</a>}, number={8}, journal={IEEE Transactions on Audio, Speech, and Language Processing}, author={Leutnant, Volker and Krueger, Alexander and Haeb-Umbach, Reinhold}, year={2013}, pages={1640–1652} }","mla":"Leutnant, Volker, et al. “Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition.” <i>IEEE Transactions on Audio, Speech, and Language Processing</i>, vol. 21, no. 8, 2013, pp. 1640–52, doi:<a href=\"https://doi.org/10.1109/TASL.2013.2258013\">10.1109/TASL.2013.2258013</a>.","chicago":"Leutnant, Volker, Alexander Krueger, and Reinhold Haeb-Umbach. “Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition.” <i>IEEE Transactions on Audio, Speech, and Language Processing</i> 21, no. 8 (2013): 1640–52. <a href=\"https://doi.org/10.1109/TASL.2013.2258013\">https://doi.org/10.1109/TASL.2013.2258013</a>.","ieee":"V. Leutnant, A. Krueger, and R. Haeb-Umbach, “Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition,” <i>IEEE Transactions on Audio, Speech, and Language Processing</i>, vol. 21, no. 8, pp. 1640–1652, 2013.","ama":"Leutnant V, Krueger A, Haeb-Umbach R. Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition. <i>IEEE Transactions on Audio, Speech, and Language Processing</i>. 2013;21(8):1640-1652. doi:<a href=\"https://doi.org/10.1109/TASL.2013.2258013\">10.1109/TASL.2013.2258013</a>"},"intvolume":"        21","page":"1640-1652","year":"2013","issue":"8","doi":"10.1109/TASL.2013.2258013","title":"Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition","author":[{"full_name":"Leutnant, Volker","last_name":"Leutnant","first_name":"Volker"},{"last_name":"Krueger","full_name":"Krueger, Alexander","first_name":"Alexander"},{"full_name":"Haeb-Umbach, Reinhold","id":"242","last_name":"Haeb-Umbach","first_name":"Reinhold"}],"date_created":"2019-07-12T05:29:42Z","volume":21,"date_updated":"2022-01-06T06:51:11Z","status":"public","abstract":[{"lang":"eng","text":"In this contribution we extend a previously proposed Bayesian approach for the enhancement of reverberant logarithmic mel power spectral coefficients for robust automatic speech recognition to the additional compensation of background noise. A recently proposed observation model is employed whose time-variant observation error statistics are obtained as a side product of the inference of the a posteriori probability density function of the clean speech feature vectors. Further a reduction of the computational effort and the memory requirements are achieved by using a recursive formulation of the observation model. The performance of the proposed algorithms is first experimentally studied on a connected digits recognition task with artificially created noisy reverberant data. It is shown that the use of the time-variant observation error model leads to a significant error rate reduction at low signal-to-noise ratios compared to a time-invariant model. Further experiments were conducted on a 5000 word task recorded in a reverberant and noisy environment. A significant word error rate reduction was obtained demonstrating the effectiveness of the approach on real-world data."}],"type":"journal_article","publication":"IEEE Transactions on Audio, Speech, and Language Processing","language":[{"iso":"eng"}],"keyword":["Bayes methods","compensation","error statistics","reverberation","speech recognition","Bayesian feature enhancement","background noise","clean speech feature vectors","compensation","connected digits recognition task","error statistics","memory requirements","noisy reverberant data","posteriori probability density function","recursive formulation","reverberant logarithmic mel power spectral coefficients","robust automatic speech recognition","signal-to-noise ratios","time-variant observation","word error rate reduction","Robust automatic speech recognition","model-based Bayesian feature enhancement","observation model for reverberant and noisy speech","recursive observation model"],"user_id":"44006","department":[{"_id":"54"}],"_id":"11862"},{"type":"conference","publication":"38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013)","status":"public","abstract":[{"lang":"eng","text":"In this paper we present a speech presence probability (SPP) estimation algorithmwhich exploits both temporal and spectral correlations of speech. To this end, the SPP estimation is formulated as the posterior probability estimation of the states of a two-dimensional (2D) Hidden Markov Model (HMM). We derive an iterative algorithm to decode the 2D-HMM which is based on the turbo principle. The experimental results show that indeed the SPP estimates improve from iteration to iteration, and further clearly outperform another state-of-the-art SPP estimation algorithm."}],"user_id":"44006","department":[{"_id":"54"}],"_id":"11917","language":[{"iso":"eng"}],"keyword":["correlation methods","estimation theory","hidden Markov models","iterative methods","probability","spectral analysis","speech processing","2D HMM","SPP estimates","iterative algorithm","posterior probability estimation","spectral correlation","speech presence probability estimation","state-of-the-art SPP estimation algorithm","temporal correlation","turbo principle","two-dimensional hidden Markov model","Correlation","Decoding","Estimation","Iterative decoding","Noise","Speech","Vectors"],"publication_identifier":{"issn":["1520-6149"]},"citation":{"apa":"Vu, D. H. T., &#38; Haeb-Umbach, R. (2013). Using the turbo principle for exploiting temporal and spectral correlations in speech presence probability estimation. In <i>38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013)</i> (pp. 863–867). <a href=\"https://doi.org/10.1109/ICASSP.2013.6637771\">https://doi.org/10.1109/ICASSP.2013.6637771</a>","bibtex":"@inproceedings{Vu_Haeb-Umbach_2013, title={Using the turbo principle for exploiting temporal and spectral correlations in speech presence probability estimation}, DOI={<a href=\"https://doi.org/10.1109/ICASSP.2013.6637771\">10.1109/ICASSP.2013.6637771</a>}, booktitle={38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013)}, author={Vu, Dang Hai Tran and Haeb-Umbach, Reinhold}, year={2013}, pages={863–867} }","short":"D.H.T. Vu, R. Haeb-Umbach, in: 38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013), 2013, pp. 863–867.","mla":"Vu, Dang Hai Tran, and Reinhold Haeb-Umbach. “Using the Turbo Principle for Exploiting Temporal and Spectral Correlations in Speech Presence Probability Estimation.” <i>38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013)</i>, 2013, pp. 863–67, doi:<a href=\"https://doi.org/10.1109/ICASSP.2013.6637771\">10.1109/ICASSP.2013.6637771</a>.","ama":"Vu DHT, Haeb-Umbach R. Using the turbo principle for exploiting temporal and spectral correlations in speech presence probability estimation. In: <i>38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013)</i>. ; 2013:863-867. doi:<a href=\"https://doi.org/10.1109/ICASSP.2013.6637771\">10.1109/ICASSP.2013.6637771</a>","chicago":"Vu, Dang Hai Tran, and Reinhold Haeb-Umbach. “Using the Turbo Principle for Exploiting Temporal and Spectral Correlations in Speech Presence Probability Estimation.” In <i>38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013)</i>, 863–67, 2013. <a href=\"https://doi.org/10.1109/ICASSP.2013.6637771\">https://doi.org/10.1109/ICASSP.2013.6637771</a>.","ieee":"D. H. T. Vu and R. Haeb-Umbach, “Using the turbo principle for exploiting temporal and spectral correlations in speech presence probability estimation,” in <i>38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013)</i>, 2013, pp. 863–867."},"page":"863-867","year":"2013","date_created":"2019-07-12T05:30:45Z","author":[{"first_name":"Dang Hai Tran","last_name":"Vu","full_name":"Vu, Dang Hai Tran"},{"last_name":"Haeb-Umbach","id":"242","full_name":"Haeb-Umbach, Reinhold","first_name":"Reinhold"}],"date_updated":"2022-01-06T06:51:12Z","doi":"10.1109/ICASSP.2013.6637771","title":"Using the turbo principle for exploiting temporal and spectral correlations in speech presence probability estimation"},{"abstract":[{"text":"For the valuation of fast growing innovative firms Schwartz and Moon (Financ Anal J 56:62–75, 2000), (Financ Rev 36:7–26, 2001) develop a fundamental valuation model where key parameters follow stochastic processes. While prior research shows promising potential for this model, it has never been tested on a large scale dataset. Thus, guided by economic theory, this paper is the first to design a large-scale applicable implementation on around 30,000 technology firm quarter observations from 1992 to 2009 for the US to assess this model. Evaluating the feasibility and performance of the Schwartz-Moon model reveals that it is comparably accurate to the traditional sales multiple with key advantages in valuing small and non-listed firms. Most importantly, however, the model is able to indicate severe market over- or undervaluation from a fundamental perspective. We demonstrate that a trading strategy based on our implementation has significant investment value. Consequently, the model seems suitable for detecting misvaluations as the dot-com bubble.","lang":"eng"}],"publication":"Journal of Business Economics (VHB-JOURQUAL 4 Ranking B)","language":[{"iso":"eng"}],"keyword":["Schwartz-Moon model","Market mispricing","Empirical test","Company valuation","Trading strategy"],"year":"2013","issue":"9","quality_controlled":"1","title":"Valuing high technology growth firms","date_created":"2018-10-31T11:31:56Z","publisher":"Springer","status":"public","type":"journal_article","extern":"1","article_type":"original","department":[{"_id":"275"}],"user_id":"115848","_id":"5192","page":"947-984","intvolume":"        83","citation":{"mla":"Klobucnik, Jan, and Sönke Sievers. “Valuing High Technology Growth Firms.” <i>Journal of Business Economics (VHB-JOURQUAL 4 Ranking B)</i>, vol. 83, no. 9, Springer, 2013, pp. 947–84, doi:<a href=\"https://doi.org/10.1007/s11573-013-0684-2\">https://doi.org/10.1007/s11573-013-0684-2</a>.","bibtex":"@article{Klobucnik_Sievers_2013, title={Valuing high technology growth firms}, volume={83}, DOI={<a href=\"https://doi.org/10.1007/s11573-013-0684-2\">https://doi.org/10.1007/s11573-013-0684-2</a>}, number={9}, journal={Journal of Business Economics (VHB-JOURQUAL 4 Ranking B)}, publisher={Springer}, author={Klobucnik, Jan and Sievers, Sönke}, year={2013}, pages={947–984} }","short":"J. Klobucnik, S. Sievers, Journal of Business Economics (VHB-JOURQUAL 4 Ranking B) 83 (2013) 947–984.","apa":"Klobucnik, J., &#38; Sievers, S. (2013). Valuing high technology growth firms. <i>Journal of Business Economics (VHB-JOURQUAL 4 Ranking B)</i>, <i>83</i>(9), 947–984. <a href=\"https://doi.org/10.1007/s11573-013-0684-2\">https://doi.org/10.1007/s11573-013-0684-2</a>","ama":"Klobucnik J, Sievers S. Valuing high technology growth firms. <i>Journal of Business Economics (VHB-JOURQUAL 4 Ranking B)</i>. 2013;83(9):947-984. doi:<a href=\"https://doi.org/10.1007/s11573-013-0684-2\">https://doi.org/10.1007/s11573-013-0684-2</a>","ieee":"J. Klobucnik and S. Sievers, “Valuing high technology growth firms,” <i>Journal of Business Economics (VHB-JOURQUAL 4 Ranking B)</i>, vol. 83, no. 9, pp. 947–984, 2013, doi: <a href=\"https://doi.org/10.1007/s11573-013-0684-2\">https://doi.org/10.1007/s11573-013-0684-2</a>.","chicago":"Klobucnik, Jan, and Sönke Sievers. “Valuing High Technology Growth Firms.” <i>Journal of Business Economics (VHB-JOURQUAL 4 Ranking B)</i> 83, no. 9 (2013): 947–84. <a href=\"https://doi.org/10.1007/s11573-013-0684-2\">https://doi.org/10.1007/s11573-013-0684-2</a>."},"jel":["G11","G12","G17","G33"],"publication_status":"published","doi":"https://doi.org/10.1007/s11573-013-0684-2","main_file_link":[{"url":"https://link.springer.com/article/10.1007/s11573-013-0684-2"}],"volume":83,"author":[{"full_name":"Klobucnik, Jan","last_name":"Klobucnik","first_name":"Jan"},{"last_name":"Sievers","id":"46447","full_name":"Sievers, Sönke","first_name":"Sönke"}],"date_updated":"2026-04-09T08:00:16Z"},{"title":"Extended dividend, cash flow, and residual income valuation models: Accounting for deviations from ideal conditions","date_created":"2018-10-31T07:58:17Z","publisher":"Wiley Online Library","year":"2013","issue":"1","quality_controlled":"1","language":[{"iso":"eng"}],"keyword":["Dividend Discount Model","Residual Income","Discounted Cash Flow","Dirty Surplus","Terminal Value","Valuation Error"],"abstract":[{"text":"Standard equity valuation approaches (i.e., DDM, RIM, and DCF model) are derived under the assumption of ideal conditions, such as infinite payoffs and clean surplus accounting. Because these conditions are hardly ever met, we extend the standard approaches, based on the fundamental principle of financial statement articulation. The extended models are then tested empirically by employing two sets of forecasts: (1) analyst forecasts provided by Value Line and (2) forecasts generated by cross-sectional regression models. The main result is that our extended models yield considerably smaller valuation errors. Moreover, by construction, identical value estimates are obtained across the extended models. By reestablishing empirical equivalence under non-ideal conditions, our approach provides a benchmark that enables us to quantify the errors resulting from individual deviations from ideal conditions, and thus, to analyze the robustness of the standard approaches. Finally, by providing a level playing field for the different valuation approaches, our findings have implications for other empirical settings, for example, estimating the implied cost of capital. ","lang":"eng"}],"publication":"Contemporary Accounting Research (VHB-JOURQUAL 4 Ranking A+)","doi":"10.2139/ssrn.1145201","main_file_link":[{"url":"http://onlinelibrary.wiley.com/doi/10.1111/j.1911-3846.2011.01148.x/abstract"}],"volume":30,"author":[{"first_name":"Nicolas","full_name":"Heinrichs, Nicolas","last_name":"Heinrichs"},{"first_name":"Dieter","last_name":"Hess","full_name":"Hess, Dieter"},{"last_name":"Homburg","full_name":"Homburg, Carsten","first_name":"Carsten"},{"last_name":"Lorenz","full_name":"Lorenz, Michael","first_name":"Michael"},{"first_name":"Sönke","id":"46447","full_name":"Sievers, Sönke","last_name":"Sievers"}],"date_updated":"2026-04-09T08:22:32Z","intvolume":"        30","page":"42-79","jel":["G12","G14","M41"],"citation":{"mla":"Heinrichs, Nicolas, et al. “Extended Dividend, Cash Flow, and Residual Income Valuation Models: Accounting for Deviations from Ideal Conditions.” <i>Contemporary Accounting Research (VHB-JOURQUAL 4 Ranking A+)</i>, vol. 30, no. 1, Wiley Online Library, 2013, pp. 42–79, doi:<a href=\"https://doi.org/10.2139/ssrn.1145201\">10.2139/ssrn.1145201</a>.","bibtex":"@article{Heinrichs_Hess_Homburg_Lorenz_Sievers_2013, title={Extended dividend, cash flow, and residual income valuation models: Accounting for deviations from ideal conditions}, volume={30}, DOI={<a href=\"https://doi.org/10.2139/ssrn.1145201\">10.2139/ssrn.1145201</a>}, number={1}, journal={Contemporary Accounting Research (VHB-JOURQUAL 4 Ranking A+)}, publisher={Wiley Online Library}, author={Heinrichs, Nicolas and Hess, Dieter and Homburg, Carsten and Lorenz, Michael and Sievers, Sönke}, year={2013}, pages={42–79} }","short":"N. Heinrichs, D. Hess, C. Homburg, M. Lorenz, S. Sievers, Contemporary Accounting Research (VHB-JOURQUAL 4 Ranking A+) 30 (2013) 42–79.","apa":"Heinrichs, N., Hess, D., Homburg, C., Lorenz, M., &#38; Sievers, S. (2013). Extended dividend, cash flow, and residual income valuation models: Accounting for deviations from ideal conditions. <i>Contemporary Accounting Research (VHB-JOURQUAL 4 Ranking A+)</i>, <i>30</i>(1), 42–79. <a href=\"https://doi.org/10.2139/ssrn.1145201\">https://doi.org/10.2139/ssrn.1145201</a>","chicago":"Heinrichs, Nicolas, Dieter Hess, Carsten Homburg, Michael Lorenz, and Sönke Sievers. “Extended Dividend, Cash Flow, and Residual Income Valuation Models: Accounting for Deviations from Ideal Conditions.” <i>Contemporary Accounting Research (VHB-JOURQUAL 4 Ranking A+)</i> 30, no. 1 (2013): 42–79. <a href=\"https://doi.org/10.2139/ssrn.1145201\">https://doi.org/10.2139/ssrn.1145201</a>.","ieee":"N. Heinrichs, D. Hess, C. Homburg, M. Lorenz, and S. Sievers, “Extended dividend, cash flow, and residual income valuation models: Accounting for deviations from ideal conditions,” <i>Contemporary Accounting Research (VHB-JOURQUAL 4 Ranking A+)</i>, vol. 30, no. 1, pp. 42–79, 2013, doi: <a href=\"https://doi.org/10.2139/ssrn.1145201\">10.2139/ssrn.1145201</a>.","ama":"Heinrichs N, Hess D, Homburg C, Lorenz M, Sievers S. Extended dividend, cash flow, and residual income valuation models: Accounting for deviations from ideal conditions. <i>Contemporary Accounting Research (VHB-JOURQUAL 4 Ranking A+)</i>. 2013;30(1):42-79. doi:<a href=\"https://doi.org/10.2139/ssrn.1145201\">10.2139/ssrn.1145201</a>"},"related_material":{"link":[{"url":"http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1145201","relation":"earlier_version"}]},"publication_status":"published","extern":"1","article_type":"original","department":[{"_id":"275"}],"user_id":"115848","_id":"5113","status":"public","type":"journal_article"},{"keyword":["model-driven performance engineering","self-*","Self-adaptation","software performance"],"_id":"22737","user_id":"4870","status":"public","publication":"{Proceedings of the 8th International ACM SIGSOFT Conference on Quality of Software Architectures (QoSA)}","type":"conference","title":"Model-driven Performance Engineering of Self-adaptive Systems: A Survey","doi":"10.1145/2304696.2304716","publisher":"ACM","date_updated":"2022-01-06T06:55:39Z","date_created":"2021-07-15T08:38:08Z","author":[{"first_name":"Matthias","full_name":"Becker, Matthias","last_name":"Becker"},{"full_name":"Luckey, Markus","last_name":"Luckey","first_name":"Markus"},{"full_name":"Becker, Steffen","last_name":"Becker","first_name":"Steffen"}],"year":"2012","place":"New York, NY, USA","page":"117-122","citation":{"ama":"Becker M, Luckey M, Becker S. Model-driven Performance Engineering of Self-adaptive Systems: A Survey. In: <i>{Proceedings of the 8th International ACM SIGSOFT Conference on Quality of Software Architectures (QoSA)}</i>. New York, NY, USA: ACM; 2012:117-122. doi:<a href=\"https://doi.org/10.1145/2304696.2304716\">10.1145/2304696.2304716</a>","chicago":"Becker, Matthias, Markus Luckey, and Steffen Becker. “Model-Driven Performance Engineering of Self-Adaptive Systems: A Survey.” In <i>{Proceedings of the 8th International ACM SIGSOFT Conference on Quality of Software Architectures (QoSA)}</i>, 117–22. New York, NY, USA: ACM, 2012. <a href=\"https://doi.org/10.1145/2304696.2304716\">https://doi.org/10.1145/2304696.2304716</a>.","ieee":"M. Becker, M. Luckey, and S. Becker, “Model-driven Performance Engineering of Self-adaptive Systems: A Survey,” in <i>{Proceedings of the 8th International ACM SIGSOFT Conference on Quality of Software Architectures (QoSA)}</i>, 2012, pp. 117–122.","mla":"Becker, Matthias, et al. “Model-Driven Performance Engineering of Self-Adaptive Systems: A Survey.” <i>{Proceedings of the 8th International ACM SIGSOFT Conference on Quality of Software Architectures (QoSA)}</i>, ACM, 2012, pp. 117–22, doi:<a href=\"https://doi.org/10.1145/2304696.2304716\">10.1145/2304696.2304716</a>.","bibtex":"@inproceedings{Becker_Luckey_Becker_2012, place={New York, NY, USA}, title={Model-driven Performance Engineering of Self-adaptive Systems: A Survey}, DOI={<a href=\"https://doi.org/10.1145/2304696.2304716\">10.1145/2304696.2304716</a>}, booktitle={{Proceedings of the 8th International ACM SIGSOFT Conference on Quality of Software Architectures (QoSA)}}, publisher={ACM}, author={Becker, Matthias and Luckey, Markus and Becker, Steffen}, year={2012}, pages={117–122} }","short":"M. Becker, M. Luckey, S. Becker, in: {Proceedings of the 8th International ACM SIGSOFT Conference on Quality of Software Architectures (QoSA)}, ACM, New York, NY, USA, 2012, pp. 117–122.","apa":"Becker, M., Luckey, M., &#38; Becker, S. (2012). Model-driven Performance Engineering of Self-adaptive Systems: A Survey. In <i>{Proceedings of the 8th International ACM SIGSOFT Conference on Quality of Software Architectures (QoSA)}</i> (pp. 117–122). New York, NY, USA: ACM. <a href=\"https://doi.org/10.1145/2304696.2304716\">https://doi.org/10.1145/2304696.2304716</a>"},"publication_identifier":{"isbn":["978-1-4503-1346-9"]}},{"_id":"9784","department":[{"_id":"151"}],"user_id":"55222","keyword":["friction","ultrasonic motors","Coulomb friction model","efficient simulation technique","friction contact","high-frequency piezoelectric inertia motor","motor characteristics prediction","numerical simulation","slip-slip mode","stick-slip mode","time-step simulation","ultrasonic inertia motor","Acceleration","Acoustics","Actuators","Computational modeling","Friction","Numerical models","Steady-state"],"language":[{"iso":"eng"}],"publication":"Ultrasonics Symposium (IUS), 2012 IEEE International","type":"conference","abstract":[{"text":"Piezoelectric inertia motors use the inertia of a body to drive it by means of a friction contact in a series of small steps. These motors can operate in ``stick-slip'' or ``slip-slip'' mode, with the fundamental frequency of the driving signal ranging from several Hertz to more than 100 kHz. To predict the motor characteristics, a Coulomb friction model is sufficient in many cases, but numerical simulation requires microscopic time steps. This contribution proposes a much faster simulation technique using one evaluation per period of the excitation signal. The proposed technique produces results very close to those of timestep simulation for ultrasonics inertia motors and allows direct determination of the steady-state velocity of an inertia motor from the motion profile of the driving part. Thus it is a useful simulation technique which can be applied in both analysis and design of inertia motors, especially for parameter studies and optimisation.","lang":"eng"}],"status":"public","date_updated":"2022-01-06T07:04:20Z","author":[{"first_name":"Matthias","full_name":"Hunstig, Matthias","last_name":"Hunstig"},{"first_name":"Tobias","full_name":"Hemsel, Tobias","last_name":"Hemsel"},{"last_name":"Sextro","full_name":"Sextro, Walter","first_name":"Walter"}],"date_created":"2019-05-13T13:20:17Z","title":"An efficient simulation technique for high-frequency piezoelectric inertia motors","doi":"10.1109/ULTSYM.2012.0068","publication_identifier":{"issn":["1948-5719"]},"quality_controlled":"1","year":"2012","page":"277-280","citation":{"ama":"Hunstig M, Hemsel T, Sextro W. An efficient simulation technique for high-frequency piezoelectric inertia motors. In: <i>Ultrasonics Symposium (IUS), 2012 IEEE International</i>. ; 2012:277-280. doi:<a href=\"https://doi.org/10.1109/ULTSYM.2012.0068\">10.1109/ULTSYM.2012.0068</a>","chicago":"Hunstig, Matthias, Tobias Hemsel, and Walter Sextro. “An Efficient Simulation Technique for High-Frequency Piezoelectric Inertia Motors.” In <i>Ultrasonics Symposium (IUS), 2012 IEEE International</i>, 277–80, 2012. <a href=\"https://doi.org/10.1109/ULTSYM.2012.0068\">https://doi.org/10.1109/ULTSYM.2012.0068</a>.","ieee":"M. Hunstig, T. Hemsel, and W. Sextro, “An efficient simulation technique for high-frequency piezoelectric inertia motors,” in <i>Ultrasonics Symposium (IUS), 2012 IEEE International</i>, 2012, pp. 277–280.","short":"M. Hunstig, T. Hemsel, W. Sextro, in: Ultrasonics Symposium (IUS), 2012 IEEE International, 2012, pp. 277–280.","mla":"Hunstig, Matthias, et al. “An Efficient Simulation Technique for High-Frequency Piezoelectric Inertia Motors.” <i>Ultrasonics Symposium (IUS), 2012 IEEE International</i>, 2012, pp. 277–80, doi:<a href=\"https://doi.org/10.1109/ULTSYM.2012.0068\">10.1109/ULTSYM.2012.0068</a>.","bibtex":"@inproceedings{Hunstig_Hemsel_Sextro_2012, title={An efficient simulation technique for high-frequency piezoelectric inertia motors}, DOI={<a href=\"https://doi.org/10.1109/ULTSYM.2012.0068\">10.1109/ULTSYM.2012.0068</a>}, booktitle={Ultrasonics Symposium (IUS), 2012 IEEE International}, author={Hunstig, Matthias and Hemsel, Tobias and Sextro, Walter}, year={2012}, pages={277–280} }","apa":"Hunstig, M., Hemsel, T., &#38; Sextro, W. (2012). An efficient simulation technique for high-frequency piezoelectric inertia motors. In <i>Ultrasonics Symposium (IUS), 2012 IEEE International</i> (pp. 277–280). <a href=\"https://doi.org/10.1109/ULTSYM.2012.0068\">https://doi.org/10.1109/ULTSYM.2012.0068</a>"}},{"language":[{"iso":"eng"}],"keyword":["Robust Automatic Speech Recognition","Bayesian feature enhancement","observation model for reverberant and noisy speech"],"user_id":"44006","department":[{"_id":"54"}],"_id":"11864","status":"public","abstract":[{"text":"In this work, an observation model for the joint compensation of noise and reverberation in the logarithmic mel power spectral density domain is considered. It relates the features of the noisy reverberant speech to those of the non-reverberant speech and the noise. In contrast to enhancement of features only corrupted by reverberation (reverberant features), enhancement of noisy reverberant features requires a more sophisticated model for the error introduced by the proposed observation model. In a first consideration, it will be shown that this error is highly dependent on the instantaneous ratio of the power of reverberant speech to the power of the noise and, moreover, sensitive to the phase between reverberant speech and noise in the short-time discrete Fourier domain. Afterwards, a statistically motivated approach will be presented allowing for the model of the observation error to be inferred from the error model previously used for the reverberation only case. Finally, the developed observation error model will be utilized in a Bayesian feature enhancement scheme, leading to improvements in word accuracy on the AURORA5 database.","lang":"eng"}],"type":"conference","publication":"Signal Processing, Communications and Computing (ICSPCC), 2012 IEEE International Conference on","main_file_link":[{"url":"http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6335731","open_access":"1"}],"title":"A Statistical Observation Model For Noisy Reverberant Speech Features and its Application to Robust ASR","author":[{"first_name":"Volker","full_name":"Leutnant, Volker","last_name":"Leutnant"},{"first_name":"Alexander","full_name":"Krueger, Alexander","last_name":"Krueger"},{"full_name":"Haeb-Umbach, Reinhold","id":"242","last_name":"Haeb-Umbach","first_name":"Reinhold"}],"date_created":"2019-07-12T05:29:44Z","date_updated":"2022-01-06T06:51:11Z","oa":"1","citation":{"chicago":"Leutnant, Volker, Alexander Krueger, and Reinhold Haeb-Umbach. “A Statistical Observation Model For Noisy Reverberant Speech Features and Its Application to Robust ASR.” In <i>Signal Processing, Communications and Computing (ICSPCC), 2012 IEEE International Conference On</i>, 2012.","ieee":"V. Leutnant, A. Krueger, and R. Haeb-Umbach, “A Statistical Observation Model For Noisy Reverberant Speech Features and its Application to Robust ASR,” in <i>Signal Processing, Communications and Computing (ICSPCC), 2012 IEEE International Conference on</i>, 2012.","ama":"Leutnant V, Krueger A, Haeb-Umbach R. A Statistical Observation Model For Noisy Reverberant Speech Features and its Application to Robust ASR. In: <i>Signal Processing, Communications and Computing (ICSPCC), 2012 IEEE International Conference On</i>. ; 2012.","apa":"Leutnant, V., Krueger, A., &#38; Haeb-Umbach, R. (2012). A Statistical Observation Model For Noisy Reverberant Speech Features and its Application to Robust ASR. In <i>Signal Processing, Communications and Computing (ICSPCC), 2012 IEEE International Conference on</i>.","short":"V. Leutnant, A. Krueger, R. Haeb-Umbach, in: Signal Processing, Communications and Computing (ICSPCC), 2012 IEEE International Conference On, 2012.","mla":"Leutnant, Volker, et al. “A Statistical Observation Model For Noisy Reverberant Speech Features and Its Application to Robust ASR.” <i>Signal Processing, Communications and Computing (ICSPCC), 2012 IEEE International Conference On</i>, 2012.","bibtex":"@inproceedings{Leutnant_Krueger_Haeb-Umbach_2012, title={A Statistical Observation Model For Noisy Reverberant Speech Features and its Application to Robust ASR}, booktitle={Signal Processing, Communications and Computing (ICSPCC), 2012 IEEE International Conference on}, author={Leutnant, Volker and Krueger, Alexander and Haeb-Umbach, Reinhold}, year={2012} }"},"year":"2012"},{"year":"2010","citation":{"mla":"Liebscher, Grit, et al. “Negotiating Identities through Pronouns of Address in an Immigrant Community.” <i>Pragmatics. Quarterly Publication of the International Pragmatics Association (IPrA)</i>, vol. 20, no. 3, 2010, pp. 375–400, doi:<a href=\"https://doi.org/10.1075/prag.20.3.04lie\">10.1075/prag.20.3.04lie</a>.","bibtex":"@article{Liebscher_Dailey-O’Cain_Müller_Reichert_2010, title={Negotiating identities through pronouns of address in an immigrant community}, volume={20}, DOI={<a href=\"https://doi.org/10.1075/prag.20.3.04lie\">10.1075/prag.20.3.04lie</a>}, number={3}, journal={Pragmatics. Quarterly Publication of the International Pragmatics Association (IPrA)}, author={Liebscher, Grit and Dailey-O’Cain, Jennifer and Müller, Mareike and Reichert, Tetyana}, year={2010}, pages={375–400} }","short":"G. Liebscher, J. Dailey-O’Cain, M. Müller, T. Reichert, Pragmatics. Quarterly Publication of the International Pragmatics Association (IPrA) 20 (2010) 375–400.","apa":"Liebscher, G., Dailey-O’Cain, J., Müller, M., &#38; Reichert, T. (2010). Negotiating identities through pronouns of address in an immigrant community. <i>Pragmatics. Quarterly Publication of the International Pragmatics Association (IPrA)</i>, <i>20</i>(3), 375–400. <a href=\"https://doi.org/10.1075/prag.20.3.04lie\">https://doi.org/10.1075/prag.20.3.04lie</a>","ama":"Liebscher G, Dailey-O’Cain J, Müller M, Reichert T. Negotiating identities through pronouns of address in an immigrant community. <i>Pragmatics Quarterly Publication of the International Pragmatics Association (IPrA)</i>. 2010;20(3):375-400. doi:<a href=\"https://doi.org/10.1075/prag.20.3.04lie\">10.1075/prag.20.3.04lie</a>","chicago":"Liebscher, Grit, Jennifer Dailey-O’Cain, Mareike Müller, and Tetyana Reichert. “Negotiating Identities through Pronouns of Address in an Immigrant Community.” <i>Pragmatics. Quarterly Publication of the International Pragmatics Association (IPrA)</i> 20, no. 3 (2010): 375–400. <a href=\"https://doi.org/10.1075/prag.20.3.04lie\">https://doi.org/10.1075/prag.20.3.04lie</a>.","ieee":"G. Liebscher, J. Dailey-O’Cain, M. Müller, and T. Reichert, “Negotiating identities through pronouns of address in an immigrant community,” <i>Pragmatics. Quarterly Publication of the International Pragmatics Association (IPrA)</i>, vol. 20, no. 3, pp. 375–400, 2010, doi: <a href=\"https://doi.org/10.1075/prag.20.3.04lie\">10.1075/prag.20.3.04lie</a>."},"page":"375-400","intvolume":"        20","publication_status":"published","publication_identifier":{"issn":["1018-2101","2406-4238"]},"issue":"3","title":"Negotiating identities through pronouns of address in an immigrant community","doi":"10.1075/prag.20.3.04lie","date_updated":"2022-01-06T06:58:05Z","date_created":"2021-12-08T14:38:18Z","author":[{"first_name":"Grit","full_name":"Liebscher, Grit","last_name":"Liebscher"},{"full_name":"Dailey-O’Cain, Jennifer","last_name":"Dailey-O’Cain","first_name":"Jennifer"},{"id":"71540","full_name":"Müller, Mareike","last_name":"Müller","first_name":"Mareike"},{"first_name":"Tetyana","full_name":"Reichert, Tetyana","last_name":"Reichert"}],"volume":20,"abstract":[{"text":"This article investigates forms of address, in particular the T/V distinction in German, in conversational interviews with German-speaking immigrants to English-speaking Canada and their descendants. From among 77 interviews conducted in two urban areas in Canada, we discuss instances of both the interactional use of and metalinguistic comments on forms of address. Our analysis is largely guided by conversation analysis and interactional sociolinguistics (e.g. Goodwin & Heritage 1990). Using Clyne, Norrby and Warren’s (2009) model of address as a backdrop, we investigate the construction of group identity and group socialization through the lens of positioning theory (e.g. van Langenhove & Harré 1993; Dailey-O’Cain & Liebscher 2009). This combination of analytical tools can explain shifts in both usage of and attitudes toward the T/V distinction that cannot be explained through language attrition arguments alone.","lang":"eng"}],"status":"public","type":"journal_article","publication":"Pragmatics. Quarterly Publication of the International Pragmatics Association (IPrA)","article_type":"original","keyword":["Forms of address","T/V distinction","Du vs. Sie","Conversation analysis","Language attitudes","Interviews","German in Canada","Migration studies","North American migration"],"extern":"1","language":[{"iso":"eng"}],"_id":"28449","user_id":"71540","department":[{"_id":"468"}]},{"publication":"IEEE Transactions on Audio, Speech, and Language Processing","abstract":[{"lang":"eng","text":"In this paper, we present a new technique for automatic speech recognition (ASR) in reverberant environments. Our approach is aimed at the enhancement of the logarithmic Mel power spectrum, which is computed at an intermediate stage to obtain the widely used Mel frequency cepstral coefficients (MFCCs). Given the reverberant logarithmic Mel power spectral coefficients (LMPSCs), a minimum mean square error estimate of the clean LMPSCs is computed by carrying out Bayesian inference. We employ switching linear dynamical models as an a priori model for the dynamics of the clean LMPSCs. Further, we derive a stochastic observation model which relates the clean to the reverberant LMPSCs through a simplified model of the room impulse response (RIR). This model requires only two parameters, namely RIR energy and reverberation time, which can be estimated from the captured microphone signal. The performance of the proposed enhancement technique is studied on the AURORA5 database and compared to that of constrained maximum-likelihood linear regression (CMLLR). It is shown by experimental results that our approach significantly outperforms CMLLR and that up to 80\\% of the errors caused by the reverberation are recovered. In addition to the fact that the approach is compatible with the standard MFCC feature vectors, it leaves the ASR back-end unchanged. It is of moderate computational complexity and suitable for real time applications."}],"language":[{"iso":"eng"}],"keyword":["ASR","AURORA5 database","automatic speech recognition","Bayesian inference","belief networks","CMLLR","computational complexity","constrained maximum likelihood linear regression","least mean squares methods","LMPSC computation","logarithmic Mel power spectrum","maximum likelihood estimation","Mel frequency cepstral coefficients","MFCC feature vectors","microphone signal","minimum mean square error estimation","model-based feature enhancement","regression analysis","reverberant speech recognition","reverberation","RIR energy","room impulse response","speech recognition","stochastic observation model","stochastic processes"],"issue":"7","year":"2010","date_created":"2019-07-12T05:29:23Z","title":"Model-Based Feature Enhancement for Reverberant Speech Recognition","type":"journal_article","status":"public","department":[{"_id":"54"}],"user_id":"44006","_id":"11846","intvolume":"        18","page":"1692-1707","citation":{"chicago":"Krueger, Alexander, and Reinhold Haeb-Umbach. “Model-Based Feature Enhancement for Reverberant Speech Recognition.” <i>IEEE Transactions on Audio, Speech, and Language Processing</i> 18, no. 7 (2010): 1692–1707. <a href=\"https://doi.org/10.1109/TASL.2010.2049684\">https://doi.org/10.1109/TASL.2010.2049684</a>.","ieee":"A. Krueger and R. Haeb-Umbach, “Model-Based Feature Enhancement for Reverberant Speech Recognition,” <i>IEEE Transactions on Audio, Speech, and Language Processing</i>, vol. 18, no. 7, pp. 1692–1707, 2010.","ama":"Krueger A, Haeb-Umbach R. Model-Based Feature Enhancement for Reverberant Speech Recognition. <i>IEEE Transactions on Audio, Speech, and Language Processing</i>. 2010;18(7):1692-1707. doi:<a href=\"https://doi.org/10.1109/TASL.2010.2049684\">10.1109/TASL.2010.2049684</a>","apa":"Krueger, A., &#38; Haeb-Umbach, R. (2010). Model-Based Feature Enhancement for Reverberant Speech Recognition. <i>IEEE Transactions on Audio, Speech, and Language Processing</i>, <i>18</i>(7), 1692–1707. <a href=\"https://doi.org/10.1109/TASL.2010.2049684\">https://doi.org/10.1109/TASL.2010.2049684</a>","mla":"Krueger, Alexander, and Reinhold Haeb-Umbach. “Model-Based Feature Enhancement for Reverberant Speech Recognition.” <i>IEEE Transactions on Audio, Speech, and Language Processing</i>, vol. 18, no. 7, 2010, pp. 1692–707, doi:<a href=\"https://doi.org/10.1109/TASL.2010.2049684\">10.1109/TASL.2010.2049684</a>.","short":"A. Krueger, R. Haeb-Umbach, IEEE Transactions on Audio, Speech, and Language Processing 18 (2010) 1692–1707.","bibtex":"@article{Krueger_Haeb-Umbach_2010, title={Model-Based Feature Enhancement for Reverberant Speech Recognition}, volume={18}, DOI={<a href=\"https://doi.org/10.1109/TASL.2010.2049684\">10.1109/TASL.2010.2049684</a>}, number={7}, journal={IEEE Transactions on Audio, Speech, and Language Processing}, author={Krueger, Alexander and Haeb-Umbach, Reinhold}, year={2010}, pages={1692–1707} }"},"volume":18,"author":[{"first_name":"Alexander","full_name":"Krueger, Alexander","last_name":"Krueger"},{"id":"242","full_name":"Haeb-Umbach, Reinhold","last_name":"Haeb-Umbach","first_name":"Reinhold"}],"date_updated":"2022-01-06T06:51:11Z","oa":"1","doi":"10.1109/TASL.2010.2049684","main_file_link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2010/KrHa10.pdf","open_access":"1"}]}]