Search Results - "Beigl, Michael"

Semantic-Enhanced Multi-Dimensional Markov Chains on Semantic Trajectories for Predicting Future Locations by Karatzoglou, Antonios, Köhler, Dominik, Beigl, Michael

“…In this work, we investigate the performance of Markov Chains with respect to modelling semantic trajectories and predicting future locations. In the first…”
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Realization and training of an inverter-based printed neuromorphic computing system by Weller, Dennis D., Hefenbrock, Michael, Beigl, Michael, Aghassi-Hagmann, Jasmin, Tahoori, Mehdi B.

“…Emerging applications in soft robotics, wearables, smart consumer products or IoT-devices benefit from soft materials, flexible substrates in conjunction with…”
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FeinPhone: Low-cost Smartphone Camera-based 2D Particulate Matter Sensor by Budde, Matthias, Leiner, Simon, Köpke, Marcel, Riesterer, Johannes, Riedel, Till, Beigl, Michael

“…Precise, location-specific fine dust measurement is central for the assessment of urban air quality. Classic measurement approaches require dedicated hardware,…”
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The Merits of a Decentralized Pollution-Monitoring System Based on Distributed Ledger Technology by Lucking, Markus, Kannengieber, Niclas, Kilgus, Maurice, Riedel, Till, Beigl, Michael, Sunyaev, Ali, Stork, Wilhelm

“…Pollution-monitoring systems (PMSs) are used worldwide to sense environmental changes, such as air quality conditions or temperature increases, and to monitor…”
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Multi-Sensor Context-Awareness in Mobile Devices and Smart Artifacts by Gellersen, Hans W, Schmidt, Albrecht, Beigl, Michael

“…The use of context in mobile devices is receiving increasing attention in mobile and ubiquitous computing research. In this article we consider how to augment…”
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NeuralIO: Indoor?Outdoor Detection via Multimodal Sensor Data Fusion on Smartphones by Wang, Long, Sommer, Lennard, Zhou, Yexu, Huang, Yiran, Wang, Jingsi, Riedel, Till, Beigl, Michael

“…The indoor–outdoor (IO) status of mobile devices is fundamental information for various smart city applications. In this paper, we present NeuralIO, a…”
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Counterfeit Detection and Prevention in Additive Manufacturing Based on Unique Identification of Optical Fingerprints of Printed Structures by Erozan, Ahmet Turan, Hefenbrock, Michael, Gnad, Dennis R. E., Beigl, Michael, Aghassi-Hagmann, Jasmin, Tahoori, Mehdi B.

“…Printed Electronics (PE) based on additive manufacturing has a rapidly growing market. Due to large feature sizes and reduced complexity of PE applications…”
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ActiServ: Activity Recognition Service for mobile phones by Berchtold, Martin, Budde, Matthias, Gordon, Dawud, Schmidtke, Hedda R, Beigl, Michael

“…Smart phones have become a powerful platform for wearable context recognition. We present a service-based recognition architecture which creates an evolving…”
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Privacy-Preserving Collaborative Blind Macro-Calibration of Environmental Sensors in Participatory Sensing by Markert, Jan-Frederic, Budde, Matthias, Schindler, Gregor, Klug, Markus, Beigl, Michael

“…The ubiquity of ever-connected smartphones has lead to new sensing paradigms that promise environmental monitoring in unprecedented temporal and spatial…”
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ESMAC: A Web-Based Configurator for Context-Aware Experience Sampling Apps in Ambulatory Assessment by Anja Bachmann, Robert Zetzsche, Andrea Schankin, Till Riedel, Michael Beigl, Markus Reichert, Philip Santangelo, Ulrich Ebner-Priemer

“…In ambulatory assessment, psychologists apply experience sampling methods (ESM) on mobile devices to assess self-reports from subjects. One major challenge is…”
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A Location Model for Communicating and Processing of Context by Beigl, Michael, Zimmer, Tobias, Decker, Christian

“…Location is one of the most important elements of context in ubiquitous computing. In this paper we describe a location model, a spatial-aware communication…”
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A Concept for Support of Firefighter Frontline Communication by Scholz, Markus, Gordon, Dawud, Ramirez, Leonardo, Sigg, Stephan, Dyrks, Tobias, Beigl, Michael

“…In an indoor firefighter mission, coordination and communication support are of the utmost importance. We present our experience from over five years of…”
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Fast and Efficient High-Sigma Yield Analysis and Optimization Using Kernel Density Estimation on a Bayesian Optimized Failure Rate Model by Weller, Dennis D., Hefenbrock, Michael, Beigl, Michael, Tahoori, Mehdi B.

“…With ever-increasing transistor density in nanoscale-integrated circuits, the impact of process variations on circuit performance and chip yield becomes…”
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Variability Modeling for Printed Inorganic Electrolyte-Gated Transistors and Circuits by Rasheed, Farhan, Hefenbrock, Michael, Beigl, Michael, Tahoori, Mehdi B., Aghassi-Hagmann, Jasmin

“…Electrolyte-gated field-effect transistor technology is an attractive candidate for printed low-power electronics due to its high field-effect mobility and…”
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Applying depthwise separable and multi-channel convolutional neural networks of varied kernel size on semantic trajectories by Karatzoglou, Antonios, Schnell, Nikolai, Beigl, Michael

“…Convolutional neural networks (CNN) have become due to their outstanding performance in the past few years rapidly the standard approach when it comes to…”
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Aging-Aware Training for Printed Neuromorphic Circuits by Zhao, Haibin, Hefenbrock, Michael, Beigl, Michael, Tahoori, Mehdi B.

“…Printed electronics allow for ultra-low-cost circuit fabrication with unique properties such as flexibility, non-toxicity, and stretchability. Because of these…”
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Descriptive Compound Identifier Names Improve Source Code Comprehension by Schankin, Andrea, Berger, Annika, Holt, Daniel V., Hofmeister, Johannes C., Riedel, Till, Beigl, Michael

“…Reading and understanding source code is a major task in software development. Code comprehension depends on the quality of code, which is impacted by code…”
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Programming the World by Beigl, Michael, Michahelles, Florian, Tokuda, Hide, Hodges, Steve

“…Computing evolution has brought about multiple paradigm shifts in how we use technologies. In the living laboratory that is modern life, our ability to design…”
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Keynote: Open Wearable Computer Systems and Applications by Beigl, Michael

“…This keynote addresses the simplified access of sensor technologies and machine learning in the field of wearable computing, highlighting important…”
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Reverse Engineering of Printed Electronics Circuits: From Imaging to Netlist Extraction by Erozan, Ahmet Turan, Hefenbrock, Michael, Beigl, Michael, Aghassi-Hagmann, Jasmin, Tahoori, Mehdi B.

“…Printed electronics (PE) circuits have several advantages over silicon counterparts for the applications where mechanical flexibility, extremely low-cost,…”
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