@inbook{13786, abstract = {{Due to the superior job performing abilities and increasing computational capabilities, collaborating with artificial-intelligence-based services (AIBS or AI-based services) will be inevitable for employees in the service context. AI-based services in the form of virtual (e.g., chatbot) or physical (e.g., service robot) embodiments, which are characterized by a higher degree of autonomy and are intended to augment the tasks of human employees in a highly collaborative way, will increasingly become an integral part of employee’s work environment. Semi-structured interviews and a focus group discussion have been used to identify constructs driving employees’ perception of AI-based services and their impact on wellbeing. Combined with a thorough literature analysis, relations between the identified constructs have been derived from introducing a conceptual model of employees’ willingness to collaborate (WTC). This study identifies technology characteristics, job demands, resources, and control as constructs, directly influencing employees’ perceived risk of AI-based services.}}, author = {{Paluch, Stefanie and Wittkop, Thomas}}, booktitle = {{Artificial Intelligence in Customer Service : The Next Frontier for Personalized Engagement }}, editor = {{Sheth, Jagdish N. and Jain, Varsha and Mogaji, Emmanuel and Ambika, Anupama }}, isbn = {{978-3-031-33897-7}}, keywords = {{Artificial intelligence, AI-based services, Willingness to collaborate, Employees’ wellbeing}}, pages = {{281–302}}, publisher = {{Springer International Publishing AG}}, title = {{{Role of Risk on Employees’ Willingness to Collaborate with Artificial Intelligence and its Impact on Wellbeing}}}, doi = {{10.1007/978-3-031-33898-4_12}}, year = {{2023}}, } @misc{7670, abstract = {{Additive manufacturing (AM) and rapid prototyping process (RPP) have revolutionized the production of 3D objects in the last few decades. RPP has considerably increased the rate of production and the possibility of manufacturing prototypes in the fields of electrical, optical, and mechanical engineering. The manufacturing of optical prototypes including spherical, aspheric, and special kinds of lenses and lens arrays has reformed the fabrication of optical components. In this paper, specifically designed lens array prototypes for application in visible light communication (VLC) are introduced. These lens array prototypes are manufactured using the stereolithography apparatus (SLA) process. These lens arrays are designed to achieve optimal transmission of the light beam for VLC systems. One of the prototypes from the lens arrays contains primarily four spherical lenses and one thicker convex lens and the other contains one fresnel lens as a substitute for thicker convex lens. These lens arrays are further post-processed to achieve the required transparency. These lens array prototypes are tested using laser and LEDs. The ON-OFF keying modulated light beam was transmitted through the lens array at the sender side and focused on the photo-receiver using another lens array at the receiver side which is 200 cm apart. After evaluating these lens prototypes, it can be concluded that with appropriate post-processing and high-resolution stereolithography based manufacturing, a low data rate VLC link can be formed.}}, author = {{Shrotri, Abhijeet Narendra and Beyer, Micha and Schneider, Daniel Johann and Stübbe, Oliver}}, booktitle = {{Laser 3D Manufacturing VIII}}, editor = {{Helvajian, Henry and Gu, Bo and Chen, Hongqiang}}, isbn = {{978-1-5106-4189-1}}, issn = {{1996-756X}}, keywords = {{Additive manufacturing, 3D printing, Stereolithography apparatus, Spherical lenses, Fresnel lenses, Visible light communication}}, location = {{San Francisco }}, publisher = {{Society of Photo-Optical Instrumentation Engineers}}, title = {{{Manufacturing of lens array prototypes containing spherical and fresnel lenses for visible light communications using stereolithography apparatus}}}, doi = {{10.1117/12.2586907}}, volume = {{11677}}, year = {{2021}}, } @misc{7676, author = {{Shrotri, Abhijeet Narendra and Beyer, Micha and Stübbe, Oliver}}, booktitle = {{3D Printed Optics and Additive Photonic Manufacturing II : 6-10 April 2020, online only, France }}, editor = {{von Freymann, Georg and Herkommer, Alois M. and Flury, Manuel}}, isbn = {{978-1-5106-3470-1}}, issn = {{1996-756X}}, keywords = {{Fresnel lenses, Stereolithography apparatus, 3D printing, Photo-polymerization}}, location = {{Strasbourg (online)}}, publisher = {{SPIE}}, title = {{{Manufacturing and analyzing of cost-efficient fresnel lenses using stereolithography}}}, doi = {{10.1117/12.2555367}}, volume = {{11349}}, year = {{2020}}, } @misc{7679, author = {{Shrotri, Abhijeet Narendra and Beyer, Micha and Stübbe, Oliver}}, booktitle = {{ Production engineering and management : proceedings 9th international conference, October 03 and 04, 2019, Trieste, Italy}}, editor = {{Padoano, Elio and Villmer, Franz-Josef}}, isbn = {{978-3-946856-04-7}}, keywords = {{3D printing, stereolithography, optical lens, light forming structures, convex lenses, concave lenses, refraction of light, focal length}}, location = {{Trieste}}, pages = {{227--240}}, publisher = {{Technische Hochschule Ostwestfalen-Lippe}}, title = {{{Evaluation of stereolithograghy processes for the production of lens prototypes}}}, volume = {{2019, 01}}, year = {{2019}}, } @article{1721, abstract = {{In this contribution, the effect of the presence of a presumed inert gas like N2 in the feed gas on the biological methanation of hydrogen and carbon dioxide with Methanothermobacter marburgensis was investigated. N2 can be found as a component besides CO2 in possible feed gases like mine gas, weak gas, or steel mill gas. To determine whether there is an effect on the biological methanation of CO2 and H2 from renewable sources or not, the process was investigated using feed gases containing CO2, H2, and N2 in different ratios, depending on the CO2 content. A possible effect can be a lowered conversion rate of CO2 and H2 to CH4. Feed gases containing up to 47N2 were investigated. The conversion of hydrogen and carbon dioxide was possible with a conversion rate of up to 91 but was limited by the amount of H2 when feeding a stoichiometric ratio of 4:1 and not by adding N2 to the feed gas.}}, author = {{Hoffarth, Marc Philippe and Broeker, Timo and Schneider, Jan}}, issn = {{2311-5637}}, journal = {{Fermentation}}, keywords = {{biological methanation, CSTR, Methanothermobacter marburgensis, methane, carbon dioxide, dinitrogen, hydrogen, power-to-gas}}, number = {{3}}, publisher = {{MDPI }}, title = {{{Effect of N2 on Biological Methanation in a Continuous Stirred-Tank Reactor with Methanothermobacter marburgensis}}}, doi = {{10.3390/fermentation5030056}}, volume = {{5}}, year = {{2019}}, } @inproceedings{1901, abstract = {{As customers’ options for configuring products to match their requirements increase, the number of assembly variants grows. Due to this large number of variants, assembly processes often cannot be automated in an economical way, and manual assembly remains highly important. Additional support options must be implemented to continue completing manual assembly processes reliably in the future. Image processing systems are one promising approach. The purpose of this paper is to establish the potential offered by industrial image processing in manual assembly, building on fundamental concepts, as well as to identify requirements and provide recommendations for selecting and arranging system components. }}, author = {{Nikolenko, Alexander and Hinrichsen, Sven}}, booktitle = {{Human Systems Engineering and Design II. IHSED 2019. Advances in Intelligent Systems and Computing}}, editor = {{Ahram, T. and Karwowski, W. and Pickl, S. and Taiar, R.}}, isbn = {{978-3-030-27927-1}}, keywords = {{Industrial image processing, Manual assembly, Assistance systems, Machine vision}}, location = {{Universität der Bundeswehr, München}}, pages = {{795--800}}, publisher = {{Springer Nature}}, title = {{{Potential of Industrial Image Processing in Manual Assembly}}}, doi = {{https://doi.org/10.1007/978-3-030-27928-8_121}}, volume = {{1026}}, year = {{2019}}, } @misc{699, author = {{Warwitz, Maximilian}}, keywords = {{Game Design, 3D-Asset, Workflow, Videospiel, Computerspiel}}, pages = {{93}}, publisher = {{Hochschule Ostwestfalen-Lippe}}, title = {{{Workflow zur Erstellung von 3D-Assets für Computer- und Videospiele}}}, year = {{2018}}, } @misc{705, author = {{Schrewe, Manuela}}, keywords = {{3D Modeling, Character Design, Concept Art, Spiel, Unreal Engine 4}}, pages = {{81}}, publisher = {{Hochschule Ostwestfalen-Lippe}}, title = {{{IJÓMA – Die Erstellung eines Spielekonzepts in den Produktionsschritten Concept Art | Character Design | Level- \& Gameplay Design 3D Modeling | Umsetzung in Unreal Engine 4}}}, year = {{2018}}, } @misc{917, author = {{Liesen, Sonja}}, keywords = {{3D-Visualisierung, Marketingkonzept}}, pages = {{104}}, publisher = {{Hochschule Ostwestfalen-Lippe}}, title = {{{Marketingkonzept und 3D-Visualisierung für Produktinnovationen am Beispiel eines multifunktionalen Taschensystems}}}, year = {{2018}}, } @misc{919, author = {{Finger, Marion}}, keywords = {{3D-Druck, CG Modelling, Computergrafik, Warenpräsentation}}, pages = {{64}}, publisher = {{Hochschule Ostwestfalen-Lippe}}, title = {{{Die Wirtschaftlichkeit des 3D-Drucks im Bereich der Backwarenpräsentation}}}, year = {{2018}}, } @misc{1009, author = {{Beyer, Tabea}}, keywords = {{3d Animationsfilm, Wasseraufbereitung}}, pages = {{36}}, publisher = {{Hochschule Ostwestfalen-Lippe}}, title = {{{Visualisierung chemischer Prozesse - Filmisch erklären 3D-Animationsfilm über das Verfahren der Wasseraufbereitung der Firma Fermanox}}}, year = {{2018}}, } @misc{796, author = {{Kelm, Jasper}}, keywords = {{2D-Tracking, 3D-Tracking, Integration, Kamera, Rekonstruktion}}, pages = {{89}}, publisher = {{Hochschule Ostwestfalen-Lippe}}, title = {{{3D-Tracking : Gegenüberstellung verschiedener Implementierungen in Labor- und Praxisanwendung}}}, year = {{2017}}, } @misc{798, author = {{Führer, Melina}}, keywords = {{3D}}, pages = {{51}}, publisher = {{Hochschule Ostwestfalen-Lippe}}, title = {{{Methoden und Möglichkeiten fotorealistischer Visualisierung zur Produktpräsentation}}}, year = {{2017}}, } @misc{834, abstract = {{Erstellung von zwei Designansätzen (abstrakt und realistisch) bezüglich eines menschlichen Gesichtes als 3D-Grafik in Rücksichtnahme auf das "Uncanny Valley".}}, author = {{Hunter Blench, Leslie}}, keywords = {{Uncanny Valley, 3D, Digitales Kino, Effekte, Stereoskopischer Film}}, pages = {{36}}, publisher = {{Hochschule Ostwestfalen-Lippe}}, title = {{{Uncanny Valley : Die Auswirkung von Abstraktion und Ikonizität hinsichtlich der Glaubwürdigkeit einer computergenerierten Person}}}, year = {{2017}}, } @inproceedings{2022, abstract = {{Nowadays, the boost of optical imaging technologies results in more data with a faster rate are being collected. Consequently, data and knowledge discovery science has become an attractive and a fast growing topic in several industry and research area. Motif discovery in image processing aims to tackle the problem of deriving structures or detecting regularities in image databases. Most of the motif discovery methods first convert images into time series and then attempt to find motifs in such data. This might lead to information loss and also the problem of inability to detect shifted and multi-scale image motifs of different size. Here, a method is proposed to find image motifs of different size in image datasets by applying images in original dimension without converting them to time series. Images are inspected by the Complex Quad Tree Wavelet Packet transform which provides broad frequency analysis of an image in various scales. Next, features are extracted from the wavelet coefficients. Finally, image motifs are detected by measuring the similarity of the features. The performance of the proposed method is demonstrated on a dataset with images from diverse applications, such as hand gesture, text recognition, leaf and plant identification, etc. }}, author = {{Deppe, Sahar and Lohweg, Volker}}, booktitle = {{PESARO 2017 The Seventh International Conference on Performance, Safety and Robustness in Complex Systems and Applications}}, editor = {{Leister, Wolfgang}}, issn = {{2308-3700}}, keywords = {{Motif discovery, Image processing, Wavelet transformation}}, location = {{Venice, Italy }}, pages = {{27--32}}, publisher = {{The Seventh International Conference on Performance, Safety and Robustness in Complex Systems and Applications; Special track MAIS: Machine Learning Algorithms in Image and Signal Processing}}, title = {{{Shift-Invariant Motif Discovery in Image Processing 'Best Paper Award'}}}, year = {{2017}}, } @inproceedings{585, abstract = {{Many low-cost 3D printers have been brought to market over the last couple of years. Most of them apply a Fused Layer Manufacturing (FLM) process, and have made 3D printing a great success amongst hobbyists, the maker community and students. One drawback of such inexpensive equipment is a limited build envelope, which prevents this from becoming a significant contributor to industrial production. To overcome these limits, it is not sufficient to simply upscale dimensions, but the overall concept of such machines must be completely re-thought, as well as the concepts behind several building blocks, components and the process software system. Problems such as shrinkage of build material, support material and machine parts in combination with long printer head travels, temperature distribution and moisture effects all have to be solved. In addition, larger parts need longer process times. Therefore, reduction of process times and an increase in productivity are necessary in order to enable economic production. Some of these problems can be solved by using more than one printer head for production, by using new materials and inventing new nozzle systems as distinct solutions for big printers. Nevertheless, to solve all these problems, the development of special machines for large parts is necessary: not component-wise but as a whole system. Large parts could then be successfully produced in several industries, using large, inexpensive FLMmachines. }}, author = {{Villmer, Franz-Josef and Witte, Lars}}, booktitle = {{Production Engineering and Management}}, editor = {{Padoano, Elio and Villmer, Franz-Josef}}, isbn = {{978-3-941645-11-0}}, keywords = {{3D printing, FLM, build envelope, large-scale, thermoplastic polymers}}, location = {{Trieste, Italy}}, number = {{1}}, pages = {{111--122}}, title = {{{Large Scale 3D-Printers: The Challenge of Outgrowing Do-It-Yourself}}}, year = {{2015}}, } @inproceedings{599, abstract = {{Order picking has long been identified as the most labor costly and intensively activity in warehouse management. The orders from the customers need to be fulfilled tightly and timely. In order to keep the required high service level, the warehouse has to increase the picking productivity under the constraints of limited capacity. This paper concerns a man-togoods order picking system, in which the order pickers have to drive with a pallet jack to the storage locations. Considering that the orders are mostly small orders which consist of less lines, it is efficient to combine severalsingle customer orders into one picking order. Under this circumstance, this paper intends to answer the question of how customer orders should be grouped into picking orders with the aim of minimizing the total travel length through the warehouse. Consequently the productivity of the order picking system can be improved. An optimization problem for order batching is introduced. The optimization method of order batching is then proposed. Based on the simulation of different scenarios of incoming orders, it can be concluded that the developed method is effective in improving the productivity of the concerned order picking system. }}, author = {{Li, Li and Schulze, L.}}, booktitle = {{Production Engineering and Management}}, editor = {{Padoano, Elio and Villmer, Franz-Josef}}, isbn = {{978-3-941645-11-0}}, keywords = {{Order picking, man-to-goods, order batching, picking productivity, genetic algorithm}}, location = {{Trieste, Italy}}, number = {{1}}, pages = {{319--326}}, title = {{{Improving the Productivity of a Man-to-Goods Order Picking System through Optimization of Order Batching}}}, year = {{2015}}, } @misc{1679, author = {{Gross, Xenia}}, keywords = {{3D, Charakterdesign, Modelling}}, pages = {{82}}, publisher = {{Hochschule Ostwestfalen-Lippe}}, title = {{{3D-KURZFILM „THE NIGHT OF SPIDERS AND FOOLS“ }}}, year = {{2015}}, } @misc{1685, author = {{Schäfer, Kristina}}, keywords = {{3D, 3ds Max, Modellierung, Modelling, Character}}, pages = {{162}}, publisher = {{Hochschule Ostwestfalen-Lippe}}, title = {{{Die Entwicklung und Modellierung eines Characters in 3ds Max}}}, year = {{2015}}, } @misc{1691, author = {{Heine, Johannes}}, keywords = {{3D, Animation, Animationsprinzipien, Disney}}, pages = {{65}}, publisher = {{Hochschule Ostwestfalen-Lippe}}, title = {{{Die 12 Animationsprinzipien von Disney: Entstehung und Bedeutung für heutige Animationsproduktionen}}}, year = {{2015}}, } @inproceedings{2128, abstract = {{We present the concept of a perceptive motor in terms of a cyber-physical system (CPS). A model application monitoring a knitting process was developed, where the take-off of the produced fabric is controlled by an electric motor. The idea is to equip a synchronous motor with a smart camera and appropriate image processing hard- and software components. Subsequently, the characteristics of knitted fabric are analysed by machine-learning (ML) methods. Our concept includes motor-current analysis and image processing. The aim is to implement an assistance system for the industrial large circular knitting process. An assistance system will help to shorten the retrofitting process. The concept is based on a low cost hardware approach for a smart camera, and stems from the recent development of image processing applications for mobile devices [1–4].}}, author = {{Vukovic, Kristijan and Simonis, Kristina and Dörksen, Helene and Lohweg, Volker}}, booktitle = {{Conference on Machine Learning for Cyber-Physical Systems (ML4CPS)}}, keywords = {{Assistance System, Euler Number, Synchronous Motor, Image Processing System, Image Processing Method}}, title = {{{Efficient Image Processing System for an Industrial Machine Learning Task}}}, doi = {{10.1007/978-3-662-48838-6_8}}, year = {{2015}}, } @inproceedings{2155, abstract = {{Today, mobile devices (smartphones, tablets, etc.) are widespread and of high importance for their users. Their performance as well as versatility increases over time. This leads to the opportunity to use such devices for more specific tasks like image processing in an industrial context. For the analysis of images requirements like image quality (blur, illumination, etc.) as well as a defined relative position of the object to be inspected are crucial. Since mobile devices are handheld and used in constantly changing environments the challenge is to fulfill these requirements. We present an approach to overcome the obstacles and stabilize the image capturing process such that image analysis becomes significantly improved on mobile devices. Therefore, image processing methods are combined with sensor fusion concepts. The approach consists of three main parts. First, pose estimation methods are used to guide a user moving the device to a defined position. Second, the sensors data and the pose information are combined for relative motion estimation. Finally, the image capturing process is automated. It is triggered depending on the alignment of the device and the object as well as the image quality that can be achieved under consideration of motion and environmental effects.}}, author = {{Henning, Kai-Fabian and Fritze, Alexander and Gillich, Eugen and Mönks, Uwe and Lohweg, Volker}}, booktitle = {{IST/SPIE Electronic Imaging 2015, Digital Photography and Mobile Imaging XI}}, keywords = {{Image processing, Image acquisition, Mobile devices Sensors, Image fusion, Motion estimation, Cameras}}, pages = {{1--12}}, publisher = {{SPIE}}, title = {{{Stable Image Acquisition for Mobile Image Processing Applications}}}, doi = {{10.1117/12.2076146}}, year = {{2015}}, } @misc{1026, author = {{Ruthmann, Daniel}}, keywords = {{3D, Architekturvisualisierung, CG}}, pages = {{45}}, publisher = {{Hochschule Ostwestfalen-Lippe}}, title = {{{Archipelago House }}}, year = {{2012}}, } @misc{1037, abstract = {{This master thesis focuses on the problems that can occur at 3D stereoscopic productions with a student budget. It provides the reader with the basic knowledge about the human eye. Further the human perception of 3D stereoscopic content is described. The reader will learn about the basic techniques and the technical appliances used in the production and the presentation of 3D stereoscopic movies. The special focus of this work is the comparison of a low budget student spot that was produced in stereoscopic 3D to other well known blockbuster movies regarding the subjects of ghosting/crosstalk, disparity and asynchronous frames. The reader will know how he or she can prepare a 3D life action shooting with a low budget avoiding these three failure sources.}}, author = {{Mompour, Marcel}}, keywords = {{3D stereoscopic, ghosting, crosstalk, bad synchronisation, disparity, low budget, Stereoskopischer Film, Synchronisierung}}, pages = {{63}}, publisher = {{Hochschule Ostwestfalen-Lippe}}, title = {{{Comparison of 3D stereoscopic blockbuster movies with a 3D stereoscopic spot realised with a student budget regarding ghosting/crosstalk, bad disparity and asynchronous frames}}}, year = {{2012}}, } @misc{1045, abstract = {{In the context of the increasing use of new portable evices, the potential of binaural recording techniques is being reconsidered. This kind of recording technique simulates human hearing and provides a 3D recording space, bringing in new mixing possibilities. For this paper, a song has been produced using inaural recording techniques and tested on a group of average listeners. The results suggest great potential for this technique for music production due to the 3D space that it brings but also significant limitation for commercial broadcasting.}}, author = {{Seserman, Angela-Nicoleta}}, keywords = {{binaural recording, 3D sound, music production, Musikproduktion, Sound}}, pages = {{46}}, publisher = {{Hochschule Ostwestfalen-Lippe}}, title = {{{Binaural recording techniques in a popular music production}}}, year = {{2012}}, } @misc{1117, abstract = {{In dem Kurzfilm HAPPYSAD geht es um einen namentlich unbekannten Hauptdarsteller. Optisch ist er im Alter zwischen 50 und 70 einzuordnen, allerdings spielt auch das Alter dabei keine Primäre Rolle. Der Character an sich erhält keine genauere Einführung und verstärkt damit den Eindruck der Austauschbarkeit und damit Anonymität. [...] Erdrückt von der Einsamkeit und der pausenlos verinnenden Zeit, gehen die Blicke immer wieder hektisch zum offen stehenden Fenster. Der Darsteller fasst den Entschluss [...], sich das Leben zu nehmen. Auf dem Fenstrebrett stehend zögert er kurz, springt dann aber in die Tiefe. Sichtlich benommen kommt er in einer für ihn unbekannten Welt wieder zu sich. [...]Doch überraschend schnell wird er wieder in die Realität zurück befördert und stellt fest, dass es sich bei all dem Erlebten (glücklicherweise) nur um einen Traum gehandelt hat.}}, author = {{Wiechmann, Jan}}, keywords = {{3D-Grafik-Software, Kurzfilm}}, pages = {{21}}, publisher = {{Hochschule Ostwestfalen-Lippe}}, title = {{{Happy Sad : Ein animierter Kurzfilm}}}, year = {{2011}}, } @inproceedings{2058, abstract = {{Nonlinear spatial transforms and fuzzy pattern classification with unimodal potential functions are established in signal processing. They have proved to be excellent tools in feature extraction and classification. In this paper we present a hardware accelerated image processing and classification scheme for rotation and translation tolerant two-dimensional pattern recognition, which is based on one-dimensional nonlinear discrete circular transforms. However, the scheme is simple; it is stable and therefore well suited for industrial applications. An implementation on one field programmable gate array (FPGA) is proposed.}}, author = {{Henke, Tobias and Lohweg, Volker}}, booktitle = {{IEEE International Conference On Image Processing (ICIP), Proceedings}}, isbn = {{0-7803-9134-9}}, issn = {{2381-8549 }}, keywords = {{Pattern recognition, Field programmable gate arrays, Neural networks, Image processing, Discrete transforms, Signal processing, Image retrieval, Image recognition, Transient analysis, Fuzzy systems}}, pages = {{349 -- 352}}, publisher = {{IEEE}}, title = {{{A Simplified Scheme For Hardware-Based Pattern Recognition}}}, doi = {{ 10.1109/ICIP.2005.1529759}}, year = {{2005}}, } @article{2056, abstract = {{Nonlinear spatial transforms and fuzzy pattern classification with unimodal potential functions are established in signal processing. They have proved to be excellent tools in feature extraction and classification. In this paper, we will present a hardware-accelerated image processing and classification system which is implemented on one field-programmable gate array (FPGA). Nonlinear discrete circular transforms generate a feature vector. The features are analyzed by a fuzzy classifier. This principle can be used for feature extraction, pattern recognition, and classification tasks. Implementation in radix-2 structures is possible, allowing fast calculations with a computational complexity of up to. Furthermore, the pattern separability properties of these transforms are better than those achieved with the well-known method based on the power spectrum of the Fourier Transform, or on several other transforms. Using different signal flow structures, the transforms can be adapted to different image and signal processing applications.}}, author = {{Lohweg, Volker and Diederichs, Carsten and Müller, Dietmar}}, issn = {{1110-8657 }}, journal = {{EURASIP journal on applied signal processing : a publication of the European Association for Speech, Signal, and Image Processing }}, keywords = {{image processing, nonlinear circular transforms, feature extraction, fuzzy pattern recognition}}, number = {{1}}, pages = {{1912--1920}}, publisher = {{Hindawi Publ.}}, title = {{{Algorithms for Hardware-Based Pattern Recognition}}}, doi = {{https://doi.org/10.1155/S1110865704404247}}, volume = {{12}}, year = {{2004}}, }