@article{5425,
abstract = {{The feasibility of inline classification and characterization of seven fruit juice varieties was investigated by the application of near-infrared spectroscopy (NIRS) combined with chemometrics. The findings are intended to be used to optimize the flash pasteurization of liquid foods. More precise information of the kind of product in real time had to be achieved to enable a more product-specific process. Using the method of partial least squares discriminant analysis, the fruit juice varieties were classified, showing a classification rate of 100% regarding an internal and 69% regarding an external test sets. A characterization by the extract content, pH value, turbidity, and viscosity was made by fitting a partial least squares regression model. The percentage prediction error of the pH value was <3% for internal and external test sets, and for the Brix value prediction errors were about 4% (internal) and 20% (external). The parameters viscosity and turbidity were found to be unsuitable. Despite this, the strategy applied to gain more product-specific information in real time showed to be feasible. By linking the results to a database containing potentially harmful microorganisms for various types of fruit juices, a more product-specific calculation of the necessary heat input can be performed. To demonstrate the practical relevance, a comparison between conventional and product-adapted process control was performed using two fruit varieties as examples in case of Alicyclobacillus acidoterrestris. Thus, with more accurate product information, achieved through the use of NIRS with chemometrics, a more precise calculation of the heat input can be achieved.}},
author = {{Weishaupt, Imke and Neubauer, Peter and Schneider, Jan}},
issn = {{2048-7177}},
journal = {{Food Science & Nutrition}},
keywords = {{flash pasteurization, fruit juice characterization and classification, inline near-infrared spectroscopy, multivariate data analysis}},
number = {{3}},
pages = {{800--812}},
publisher = {{Wiley}},
title = {{{Near-infrared spectroscopy for the inline classification and characterization of fruit juices for a product-customized flash pasteurization}}},
doi = {{ https://doi.org/10.1002/fsn3.2709}},
volume = {{10}},
year = {{2022}},
}
@article{6898,
abstract = {{AbstractA statistical analysis is presented that investigates the dependence of team cities’ geographical distances on the effect of home advantage (HA) for 57 years of the men’s German first soccer division (“Bundesliga”), including 17,376 matches (seasons starting from 1964 to 2020). The data shows that the HA can clearly be evidenced in the past and present (statistical p‑value < 0.01) and that it also exists for negligible distances (p < 0.01). The HA and the influence of distance on the HA both significantly decreased gradually over the last decades (p < 0.01). For the first and only time, the HA reversed into an away advantage (AA) for the season 2019/2020 (p < 0.01). The influence of distance on HA has been significant (p < 0.01) in the past (before about 1990) and contributed roughly by about half, compared to a situation without HA or AA. It increases with distance and saturates at around 100 km. Such saturation behaviour is in line with results from higher divisions of other countries with similar travelling distances such as Italy, Turkey and England. However, the distance-dependent contribution to HA has been approximately halved and reduced to an insignificant amount today. Furthermore, the temporal HA reduction is significantly larger for large distances compared to short distances (p < 0.01). Reporting and quantifying a reduction (p < 0.01) of the distance-dependent contribution to HA over a time span of 57 years is novel.}},
author = {{Beckmann, Nils}},
issn = {{2509-3142}},
journal = {{German Journal of Exercise and Sport Research}},
keywords = {{Statistical analysis, Historic development, Geographical distance, Team performance, Home and away match results, Home advantage decline}},
title = {{{Statistical influence of travelling distance on home advantage over 57 years in the men’s German first soccer division}}},
doi = {{10.1007/s12662-021-00787-7}},
year = {{2021}},
}
@misc{8380,
abstract = {{Currently, numerous single-track railway lines are disused due to economic reasons. However, they could be reactivated for a bidirectional on-demand service traffic by small vehicles that use only one rail. MonoCabs are such small cabin-like vehicles, stabilized by a system of control moment gyroscopes and a moveable mass. They could make an important contribution to improve the mobility offer especially in rural areas. This paper is focused on the vertical stabilization system of the MonoCab. This system is discussed based on a physical three body model which describes the rolling motion of the vehicle, the lateral motion of the mass and the precession motion of the gyroscope. The model is utilized for a cascaded control concept adjusting the vehicle’s roll angle and gyroscope’s gimbal angle. The proposed stabilization concept is capable of compensating both high dynamic disturbances and stationary disturbances (e. g. unbalanced loads and steady wind flows). The concept is analyzed by simulations and experimental investigations utilizing a small scaled test rig and a rapid control prototyping system. Beside transient command responses also the frequency response of the system is experimentally evaluated and used for a validation of the model and theoretical findings.}},
author = {{Griese, Martin and Kottmeier, Fabian and Schulte, Thomas}},
booktitle = {{IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society}},
isbn = {{978-1-6654-3554-3}},
issn = {{2577-1647 }},
keywords = {{Vehicle dynamics, Control moment gyroscope, Control system analysis, Roll stabilization, Monorail vehicles}},
location = {{Toronto, ON, Canada }},
pages = {{pp. 1--6}},
publisher = {{IEEE}},
title = {{{Vertical control of a self-stabilizing monorail vehicle}}},
doi = {{10.1109/IECON48115.2021.9589726}},
year = {{2021}},
}
@misc{8385,
abstract = {{Currently, numerous single-track railway lines are disused due to economic reasons. However, they could be reactivated for a bidirectional on-demand service traffic by small vehicles that use only one rail. MonoCabs are such small cabin-like vehicles, stabilized by a system of control moment gyroscopes and a moveable mass. They could make an important contribution to improve the mobility offer especially in rural areas. This paper focuses on the analytical modeling and vertical stabilization system of the MonoCab. A nonlinear dynamic model is obtained using the Lagrangian method and subsequently linearized about its equilibrium point. Which is used for the design of the cascade control system. The dynamic analysis of the system is accomplished by comparing between analytically derived model in simulink environment and same structured model in simscape multibody. This system is discussed based on a physical three body model which describes the rolling motion of the vehicle, the lateral motion of the mass and the precession motion of the gyroscope. The model is utilized for a cascaded control concept adjusting the vehicle’s roll angle and gyroscope’s precession angle. The proposed stabilization concept is capable of compensating both high dynamic disturbances and stationary disturbances (e. g. unbalanced loads and steady wind flows). The concept is analyzed by simulations and experimental investigations. Beside transient command responses also the frequency response of the system is experimentally evaluated and used for a validation of the model and theoretical findings. For the experimental validation, a small scaled test rig is used which consists of mechanical frames and flywheels, inverter-fed drives, rotary encoders, an inertial measurement unit (IMU) and a rapid control prototyping system.}},
author = {{Griese, Martin and Mousavi, Seyed Davood and Schulte, Thomas}},
booktitle = {{2021 9th International Conference on Control, Mechatronics and Automation (ICCMA)}},
keywords = {{Vehicle dynamics, Control moment gyroscope, Control system analysis, Roll stabilization, Monorail vehicles}},
location = {{Belval, Luxembourg }},
pages = {{205--210}},
publisher = {{IEEE}},
title = {{{Modeling the Vertical Dynamics of a Self-stabilizing Monorail Vehicle}}},
doi = {{10.1109/ICCMA54375.2021.9646219}},
year = {{2021}},
}
@inproceedings{1903,
abstract = {{Because of the trend towards smaller batch sizes and customer-specific products, employees in assembly have to absorb and process more and more information. With the help of assistance systems, the process of information absorption and processing can be designed in a more economical and human-oriented way. Despite the potentials of such systems, companies pay too little attention to the informational design of assembly systems, resulting in a number of significant deficits in information management. To identify such deficits in operational practice, a questionnaire has been developed. This allows the potential use of informational assistance systems for an assembly system to be estimated. In this article, results from an exploratory factor analysis of the developed instrument will be presented and interpreted as a basis for the further development of the questionnaire.}},
author = {{Bendzioch, Sven and Hinrichsen, Sven and Adrian, Benjamin and Bornewasser, Manfred}},
booktitle = {{Advances in Human Factors and Systems Interaction AHFE 2019}},
editor = {{Nunes, Isabel L.}},
isbn = {{978-3-030-20039-8}},
keywords = {{Complexity evaluation, Manual assembly, Questionnaire, Work analysis method, Assistance systems, Exploratory factor analysis}},
location = {{Washington D.C., USA}},
pages = {{3--11}},
publisher = {{Springer}},
title = {{{Method for Measuring the Application Potential of Assembly Assistance Systems}}},
doi = {{https://doi.org/10.1007/978-3-030-20040-4_1}},
volume = {{959}},
year = {{2020}},
}
@article{5424,
abstract = {{Near infrared spectroscopy in combination with a transflection probe was investigated as inline measurement in a continuous flash pasteurizer system with a sugar-water model solution. Robustness and reproducibility of fluctuations of recorded spectra as well as trueness of the chemometric analysis were compared under different process parameter settings. Variable parameters were the flow rate (from laminar flow at 30 L/h to turbulent flow at 90 L/h), temperature (20 to 100 degrees C) and the path length of the transflection probe (2 and 4 mm) while the pressure was kept constant at 2.5 bar. Temperature and path length were identified as the most affecting parameters, in case of homogenous test medium. In case of particle containing systems, the flow rate could have an impact as well. However, the application of a PLS model, which includes a broad temperature range, and the correction of prediction results by applying a polynomial regression function for prediction errors, was able to compensate these effects. Also, a path length of 2 mm leads to a higher accuracy. The applied strategy shows that by the identification of relevant process parameters and settings as well as the establishment of a compensation strategy, near infrared spectroscopy is a powerful process analytical tool for continuous flash pasteurization systems.}},
author = {{Weishaupt, Imke and Zimmer, Manuel and Neubauer, Peter and Schneider, Jan}},
isbn = {{0022-1147}},
issn = {{1750-3841}},
journal = {{Journal of Food Science}},
keywords = {{flash pasteurization, inline near infrared spectroscopy, multivariate data analysis, process condition influences, sugar-water-solution model beverage}},
number = {{7}},
pages = {{2020 -- 2031}},
title = {{{Model based optimization of transflection near infrared spectroscopy as a process analytical tool in a continuous flash pasteurizer}}},
doi = {{10.1111/1750-3841.15307}},
volume = {{85}},
year = {{2020}},
}
@misc{12835,
abstract = {{Delayed-release dosage forms are mainly manufactured as batch processes and include coated tablets, pellets, or particles with gastric resistant polymers. Authors propose a novel approach using the hot-melt extrusion technique to prepare delayed release dosage forms via a continuous manufacturing process, a new trend in the pharmaceutical industry. A full factorial design was employed to correlate input variables, including stearic acid (SA) content, drug content, and pellet size with drug release properties of the pellets. PLS fit method suitably elaborated the relationship between input and output variables with reasonably good fit and goodness of prediction. All three input factors influenced drug release in enzyme-free simulated gastric fluid (SGF) after 120 min; however, SA content did not significantly affect drug dissolution in the enzyme-free simulated intestinal fluid (SIF). An optimized formulation and design space were determined by overlaying multiple contours established from regression equations. The continuous manufacturing process was successfully monitored using inline near-infrared (NIR) and inline particle size analysis, with drug load and pellet size being well-controlled within the design space. The obtained pellets released less than 5% after 120 min in SGF and more than 85% and 95% after 30 min and 45 min, respectively, after switching to SIF. (C) 2020 American Pharmacists Association (R). Published by Elsevier Inc. All rights reserved.}},
author = {{Vo, Anh Q. and Kutz, Gerd and He, Herman and Narala, Sagar and Bandari, Suresh and Repka, Michael A.}},
booktitle = {{Journal of Pharmaceutical Sciences}},
issn = {{1520-6017}},
keywords = {{Continuous manufacturing, Delayed-release, FT-NIR, Inline particle size analysis, Hot melt extrusion}},
number = {{12}},
pages = {{3598--3607}},
publisher = {{Elsevier BV}},
title = {{{Continuous Manufacturing of Ketoprofen Delayed Release Pellets Using Melt Extrusion Technology: Application of QbD Design Space, Inline Near Infrared, and Inline Pellet Size Analysis}}},
doi = {{10.1016/j.xphs.2020.09.007}},
volume = {{109}},
year = {{2020}},
}
@inproceedings{2005,
abstract = {{We present a method for the fast and robust linear classification of badly conditioned data. In our considerations, badly conditioned data are such data which are numerically difficult to handle. Due to, e.g. a large number of features or a large number of objects representing classes as well as noise, outliers or incompleteness, the common software computation of the discriminating linear combination of features between classes fails or is extremely time consuming. The theoretical foundations of our approach are based on the single feature ranking, which allows fast calculation of the approximative initial classification boundary. For the increasing of classification accuracy of this boundary, the refinement is performed in the lower dimensional space. Our approach is tested on several datasets from UCI Reposi-tiory. Experimental results indicate high classification accuracy of the approach. For the modern real industrial applications such a method is especially suitable in the Cyber-Physical-System environments and provides a part of the workflow for the automated classifier design}},
author = {{Dörksen, Helene and Lohweg, Volker}},
booktitle = {{23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)}},
keywords = {{Task analysis, Software, Linear discriminant analysis, Dimensionality reduction, Mathematical model, Covariance matrices, Measurement}},
location = {{ Turin, Italy }},
title = {{{Linear Classification of Badly Conditioned Data. }}},
doi = {{10.1109/ETFA.2018.8502485}},
year = {{2018}},
}
@inproceedings{2008,
abstract = {{We concentrate our research activities on the multivariate feature selection, which is one important part of many machine learning tasks. In partucular, Linear Discriminant Analysis [1] belongs to the state-of-the-art methods for the multivariate analysis. From the theoretical point of view, it is the well-known fact that LDA is best suitable in the case the features are Gaussian distributed.
In the theoretical part of the presented paper, we analyse the properties of the multivariate discriminant analysis with respect to the feature selection. In this context, we consider a binary supervised learning task and assume that the features are Gaussian distributed. The discriminant analysis solves the mentioned supervised learning task by maximising of the discriminant value, calculated for the linear combination of the features.
The initial LDA solution a 2 Rd is considered for all given features from the feature space X Rd. The corresponding discriminant is calculated by the formula:
d(a; x1, . . . , xd) := (μ+ − μ−)2
2+
+ 2−
,
where μ+/− are projected class means and 2 +/− are projected class variances (with respect to a). We proof several propositions with the aim to find subsets of the features having higher discriminant value as original d(a; x1, . . . , xd). For the suitability in the real world settings, here we are interested in fast searching for such subsets.
The performance of the mentioned propositions is examined experimentally on datasets from UCI repository [2]. Several application scenarien will be discussed and tested on the datasets. In addition, tests show that the performance can be achieved also in the case the features are not Gaussian distributed.}},
author = {{Dörksen, Helene and Lohweg, Volker}},
booktitle = {{European Conference on Data Analysis (ECDA2018)}},
keywords = {{multivariate feature selection, Gaussian distribution, linear discriminant analysis}},
location = {{Paderborn}},
title = {{{Multivariate Gaussian Feature Selection. }}},
year = {{2018}},
}
@inproceedings{10668,
abstract = {{Digitalization has a significant impact on our working life and it allows whole industries to rethink their value chains. This paper examines how digitalization relates to complexity in work systems with respect to relevant organizational fields of work organization. 23 semi-structured interviews with experts from science and economy were conducted and analyzed. Key findings are that digitalization has far-reaching, interrelated implications for all organizational fields. Moreover, digitalization-related aspects were identified which have the potential to increase complexity in work systems.}},
author = {{Latos, Benedikt and Harlacher, Markus and Przybysz, Philipp M. and Mutze-Niewohner, Susanne}},
booktitle = {{2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)}},
issn = {{2157-362X}},
keywords = {{Complexity theory, Interviews, Organizations, Industries, Task analysis, Acceleration}},
location = {{Singapore}},
publisher = {{IEEE}},
title = {{{Transformation of working environments through digitalization: Exploration and systematization of complexity drivers}}},
doi = {{10.1109/ieem.2017.8290059}},
year = {{2018}},
}
@inproceedings{265,
abstract = {{The maintenance of a tool for injection molding or forming is usually accompanied by its disassembly and assembly. The duration of the assembly activities is often a large part of the total activity time for the maintenance of the tool. The degree of performance of the employees in the execution of these disassembly and assembly activities is often low. In addition, allowances occur (e.g. searching for work equipment). At the Industrial Engineering Lab of the Ostwestfalen-Lippe University of Applied Sciences, a prototype of an assistance system was developed to support the assembly activities in toolmaking. With the help of this system, the operator is guided step by step through the assembly process. The economic potential of the system exists in the reduction of training times, the avoidance of assembly errors and the increase of labor productivity.}},
author = {{Hinrichsen, Sven and Riediger, Daniel and Unrau, Alexander}},
booktitle = {{2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)}},
isbn = {{978-1-5386-0948-4 }},
keywords = {{injection moulding, machine tools, maintenance engineering, productivity, projection-based assistance system, injection molding tools, assembly activities, assembly process, assembly errors, tool maintenance, disassembly activities, economic potential, Industrial Engineering Lab, Ostwestfalen-Lippe University of Applied Sciences, toolmaking, Tools, Injection molding, Maintenance engineering, Usability, Task analysis, Workstations, Morphology, assembly assistance systems, assistance systems, maintenance of injection molding tools, manual assembly}},
location = {{Singapore}},
number = {{1}},
pages = {{1571--1575}},
title = {{{Development of a Projection-Based Assistance System for Maintaining Injection Molding Tools}}},
doi = {{https://doi.org/10.1109/IEEM.2017.8290157}},
year = {{2017}},
}
@inproceedings{577,
abstract = {{A rising number of product variants together with decreasing lot sizes are a result of the trend of individualization. Besides the upcoming organizational issues, changes in the production technologies are required. Direct digital manufacturing contributes to solve this problem by enabling the production of parts right from the CAD data.Process capability analysis is applied in several industries to prove the reliable compliance of products with quality requirements. As it is based on statistical methods, new challenges arise in the context of single-part production.The paper describes and compares different approaches for the adoption of process capability analysis for single-part production with special focus on additive manufacturing technologies. The statistical background and the applicability of different capability parameters are discussed. An overview of existing research work is given and supplemented by own approaches for the adoption of statistical methods for single-part production. The aim of the research work is to establish a first approach for the qualification of new technologies in single-part production.}},
author = {{Huxol, Andrea and Davis, Andrea and Villmer, Franz-Josef and Scheideler, Eva}},
booktitle = {{Production Engineering and Management}},
editor = {{Padoano, Elio and Villmer, Franz-Josef}},
isbn = {{978-3-946856-01-6}},
keywords = {{Statistical process control, Process capability analysis, Single-part production, Process optimization}},
location = {{Pordenone, Italy}},
number = {{1}},
pages = {{63--74}},
title = {{{Deployment of Process Capability Analysis for Single-Part Production}}},
year = {{2017}},
}
@inproceedings{2133,
abstract = {{Due to the material changes of components from metal to plastic or composite materials, the structural health monitoring finds more and more interest in the industrial fields. The reason is that these materials are more vulnerable to damage or impacts which cannot be optically detected. In this contribution we present a method to analyze the structure of plastic components with piezo-electrical sensors and actuators. The components are stimulated by actuators, and sensors capture the injected vibrations. These signals are decomposed into Intrinsic Mode Functions to compute statistical features. A Fuzzy-Pattern-Classifier is applied to detect structural modifications at the components under test.}},
author = {{Dicks, Alexander and Lohweg, Volker and Wittke, Henrik and Linke, Stefan}},
booktitle = {{20th IEEE International Conference on Emerging Technologies and Factory Automation}},
keywords = {{Sensors, Actuators, Finite element analysis, Plastics, Modal analysis, Monitoring, Empirical mode decomposition}},
title = {{{Structural Health Monitoring of Plastic Components with Piezoelectric Sensors}}},
doi = {{ 10.1109/ETFA.2015.7301595}},
year = {{2015}},
}
@article{2312,
author = {{Barthold, Franz-Joseph and Materna, Daniel}},
issn = {{1097-0207}},
journal = {{International Journal for Numerical Methods in Engineering}},
keywords = {{extended finite element method, structural optimisation, sensitivity analysis}},
number = {{3}},
pages = {{209--234}},
publisher = {{Wiley Online Library}},
title = {{{A modified extended finite element method approach for design sensitivity analysis}}},
doi = {{10.1002/nme.4930}},
volume = {{104}},
year = {{2015}},
}
@inproceedings{2375,
abstract = {{Industrial wireless communication in license-free spectrum bands such as the 2.4-GHz-ISM band suffer from motion and multipath effects, which cause a high time- and frequency-variant channel attenuation. Additionally, mutual interference from heterogeneous wireless technologies limits real-time capabilities of industrial wireless technologies. Therefore, performance validations of industrial wireless technologies within appropriate industrial wireless environments are necessary. In this paper, we present the first raw measurement data set publication of an industrial wireless environment characterization in a data repository for free public access to enable transparent industrial wireless technology validation and to enhance their comparability. We characterize the whole license-free 2.4-GHz-ISM band with a time resolution of 110 μs and a frequency resolution of 1MHz in a coexistence scenario with four antennas obstructed by robot arm movements. Additionally, the frequency and time variance of the measured channel attenuations are analyzed.}},
author = {{Block, Dimitri and Fliedner, Niels Hendrik and Toews, Daniel and Meier, Uwe}},
booktitle = {{2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA)}},
isbn = {{9781467379298}},
keywords = {{Wireless communication, Wireless sensor networks, Antenna measurements, Attenuation measurement, Extraterrestrial measurements, Time-frequency analysis}},
location = {{ Luxembourg, Luxembourg}},
title = {{{Wireless channel measurement data sets for reproducible performance evaluation in industrial environments}}},
doi = {{10.1109/etfa.2015.7301599}},
year = {{2015}},
}
@inproceedings{597,
abstract = {{This paper is aimed to discuss current research using data mining techniques and industry statistics in production environments. The general research approach is based on the idea of using data mining processes and techniques of industry statistics to find rare and hidden patterns behind failures of complex components. A case study will be applied to illustrate how the technique is carried out and where the limits of this approach occur. The case study deals with a component supplier of printing machines, which received an increasing number of client complaints, all related to one distinct problem. The observed failures seem to occur only among clients with very high quality standards. The affected component undergoes a very complex production process with several steps in different departments. Every single production unit records data information from multiple process variables and at different points in time. In the beginning there was no understanding of the failure causes in production at all. Therefore a huge amount of production data had to be analyzed to find the pattern that discloses the failure.
The data mining process starts with a first step in which the given data sets are prepared and then cleaned. Followed up by building a prediction model. The aim is to detect the root causes for failures and to predict potential failures in affected components. This paper shows how to use data mining to get the answer on pressing production failures.
}},
author = {{Scheideler, Eva and Ahlemeyer-Stubbe, Andrea}},
booktitle = {{Production engineering and management : proceedings, 5th international conference, October 1 and 2, 2015, Trieste, Italy}},
editor = {{Padoano, Elio and Villmer, Franz-Josef}},
isbn = {{978-3-941645-11-0}},
keywords = {{Data mining, production failure, multi-variant analysis, multivariate process control, predictive modelling, case study}},
location = {{Trieste, Italy}},
number = {{1}},
pages = {{163--174}},
publisher = {{Hochschule Ostwestfalen-Lippe}},
title = {{{Data Mining: A Potential Detector to Find Failure in Complex Components}}},
year = {{2015}},
}
@inproceedings{4373,
abstract = {{Today, usability measures for the evaluation of systems and interfaces are mostly assessed in an isolated way. This paper addresses the question whether an integrative multi-dimensional feature evaluation can lead to different and more holistic results. We combined traditional measures (e.g., time to task completion) with advanced measures, like eye tracking, biosignal data logging and assessment of user emotions. For the evaluation of emotions, we used verbal methods (PAD Semantic Scale and a questionnaire) and a nonverbal method with EmoCards. The overall goal was to document and analyze the interaction as completely as possible (including effectiveness, efficiency and user satisfaction), focusing especially on objective measurements. Furthermore, the recording and assessment of emotions, which are part of the user experience, should give insights into user satisfaction.}},
author = {{Ermes, Verena and Janß, Armin and Radermacher, Klaus and Röcker, Carsten}},
booktitle = {{Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare }},
editor = {{Hein, Andreas}},
keywords = {{Usability Measures, User Experience, Eye Tracking, Biosignal Data Logging, Emotion Evaluation, Risk Analysis, Medical Devices, Integrated Usability Evaluation}},
location = {{Oldenburg}},
pages = {{227 -- 230}},
publisher = {{ ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)}},
title = {{{Analyzing the Benefits of Integrative Multi-Dimensional Assessments of Usability Features in Interaction-Centered User Studies}}},
doi = {{10.4108/icst.pervasivehealth.2014.255142#d73284787e1}},
year = {{2014}},
}
@inbook{10068,
abstract = {{Currently, cities are confronting a multitude of challenges including climate change, demographic change, urbanization and land subsidence. Resulting flooding, droughts and other disturbances could lead to water shortages, severe interruptions, hydraulic problems or underutilization of water infrastructure systems. One way that cities can become more resilient is by diversifying their water resources and reducing their dependency on central water infrastructures. Water infrastructure systems consisting of decentral or semi-central partial systems would be more resilient because a failure in these systems would only affect a small part of the urban area. Instead of an incremental improvement of the water infrastructure, there is a need for system innovations that will allow an adaptive development to changing conditions and which will ensure that future sustainability challenges are met. However, moving towards more resilient water technologies is seen as controversial for built-up areas. To answer the question if a transformation to a more resilient water infrastructure in built-up areas is feasible (technically and economically), a balancing and assessment of the corresponding effects have been done by way of comparing a “transformation” scenario with a reference scenario “business as usual”. If one takes a long-term period of observation (70 years), the costs balance of the scenarios “reference” and “transformation” both turn out to be on a comparative level. By contrast, the consumption of environmental resources in the scenario “transformation” is almost twice as low as in the “reference”.}},
author = {{Schramm, Engelbert and Felmeden, Jörg}},
booktitle = {{Resilient Cities 2 : Cities and Adaptation to Climate Change – Proceedings of the Global Forum 2011 }},
editor = {{Zimmermann, Karl Otto}},
isbn = {{978-94-007-9776-5}},
issn = {{2211-2790 }},
keywords = {{Climate change, Eco-efficiency analysis, System innovations, Vulnerability, Water infrastructure}},
location = {{Bonn}},
pages = {{177–186}},
publisher = {{Springer Dordrecht}},
title = {{{Towards More Resilient Water Infrastructures}}},
doi = {{https://doi.org/10.1007/978-94-007-4223-9_19}},
volume = {{2}},
year = {{2012}},
}
@inproceedings{2068,
abstract = {{The production of printing goods is laborious. Furthermore, the print quality, especially in banknotes, must be assured. It is accepted, that print defects are generated because printing parameters, also machine parameters can change unnoticed. Therefore, a combined concept for a multi-sensory learning and classification model based on new adaptive fuzzy-pattern-classifiers for data inspection is proposed. This inspection concept, which combines optical, acoustical and other machine information, comes up with a large amount of data, which leads to multivariate methods for data analysis. Multivariate methods are useful for analysis of large and complex data sets that consist of many variables measured on large numbers of physical data.}},
author = {{Dyck, Walter and Türke, Thomas and Schaede, Johannes and Lohweg, Volker}},
isbn = {{978-1-4244-1565-6}},
issn = {{1551-2541 }},
keywords = {{Sensor fusion, Inspection, Optical sensors, Printing machinery, Data security, Data analysis, Production, Degradation, Principal component analysis, Karhunen-Loeve transforms}},
pages = {{accepted for publication}},
publisher = {{MLSP 2007 - International Workshop on MACHINE LEARNING FOR SIGNAL PROCESSING}},
title = {{{A Fuzzy-Pattern-Classifier-Based Adaptive Learning Model for Sensor Fusion}}},
doi = {{10.1109/MLSP.2007.4414320}},
year = {{2007}},
}
@inproceedings{2058,
abstract = {{Nonlinear spatial transforms and fuzzy pattern classification with unimodal potential functions are established in signal processing. They have proved to be excellent tools in feature extraction and classification. In this paper we present a hardware accelerated image processing and classification scheme for rotation and translation tolerant two-dimensional pattern recognition, which is based on one-dimensional nonlinear discrete circular transforms. However, the scheme is simple; it is stable and therefore well suited for industrial applications. An implementation on one field programmable gate array (FPGA) is proposed.}},
author = {{Henke, Tobias and Lohweg, Volker}},
booktitle = {{IEEE International Conference On Image Processing (ICIP), Proceedings}},
isbn = {{0-7803-9134-9}},
issn = {{2381-8549 }},
keywords = {{Pattern recognition, Field programmable gate arrays, Neural networks, Image processing, Discrete transforms, Signal processing, Image retrieval, Image recognition, Transient analysis, Fuzzy systems}},
pages = {{349 -- 352}},
publisher = {{IEEE}},
title = {{{A Simplified Scheme For Hardware-Based Pattern Recognition}}},
doi = {{ 10.1109/ICIP.2005.1529759}},
year = {{2005}},
}