Jan Wolf

An Intelligent Sensor-Based Back Seat Monitoring System for Preventing Pediatric Vehicular Heatstroke

Leila Sharara, Klaus Thelen, Jonas Gillner, Jan Wolf et autres

This research introduces an innovative automotive child back seat monitoring system aimed at preventing heatstroke incidents associated with leaving children unattended in vehicles. The device integrates sensors, wireless connectivity, and intelligent algorithms to detect and respond to potential risks. Internal sensors continuously …

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A Data-Driven Approach for Cutting Force Prediction in FEM Machining Simulations Using Gradient Boosted Machines

Tim Reeber, Jan Wolf, Hans‐Christian Möhring

Cutting simulations via the Finite Element Method (FEM) have recently gained more significance due to ever increasing computational performance and thus better resulting accuracy. However, these simulations are still time consuming and therefore cannot be deployed for an in situ evaluation of …

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Study on Dynamic Behaviour in FFF 3D-printing with Crossed Gantry Kinematic

Jan Wolf, Kim Torben Werkle, Hans‐Christian Möhring

Additive manufacturing with fused filament fabrication (FFF) offers rapid prototyping, design flexibility, and cost efficiency, making it a disruptive technology in comparison with traditional subtractive manufacturing. However, the achievable accuracy of current FFF printers is limited, prompting research into factors affecting print …

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Development of an Extraction Hood for Efficient Chip Collection during the Finishing Process of FFF 3D Printed Parts

Jan Wolf, Jonas Gerold, Hans‐Christian Möhring

Fused Filament Fabrication (FFF) has seen a rise in popularity for industrial and research applications due to freedom of design, comparably small costs and a short manufacturing time. However, the achievable surface quality and dimensional accuracy is still limited due to a …

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Generalizable process monitoring for FFF 3D printing with machine vision

Kim Torben Werkle, Caroline Trage, Jan Wolf, Hans‐Christian Möhring

Abstract Additive manufacturing has experienced a surge in popularity in both commercial and private sectors over the past decade due to the growing demand for affordable and highly customized products, which are often in direct opposition to the requirements of traditional subtractive …

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A Real-Time Automotive Safety System Based on Advanced AI Facial Detection Algorithms

Leila Sharara, Alexandros Politis, Hadi Syed, Emma Kronell et autres

This research aims to design and implement a complete safety and comfort device that integrates a Driving Monitoring System (DMS) and a car Seat Electronic Control Unit (SECU). The DMS employs a combination of infrared sensors and a pre-trained Artificial Intelligence (AI) …

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Convolutional-Based Encoder–Decoder Network for Time Series Anomaly Detection during the Milling of 16MnCr5

Tobias Schlagenhauf, Jan Wolf, Alexander Puchta

Machine learning methods have widely been applied to detect anomalies in machine and cutting tool behavior during lathe or milling. However, detecting anomalies in the workpiece itself have not received the same attention by researchers. In this article, the authors present a …

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Multivariate Time Series Dataset of Milling 16MnCr5 for Anomaly Detection

Tobias Schlagenhauf, Jan Wolf, Alexander Puchta

Machine learning methods have widely been applied to detect anomalies in machine and cutting tool behavior during lathe or milling. However, detecting anomalies in the workpiece itself did not get the same attention by researchers. That is why in this article, the …

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Quantified linear programming

Jan Wolf

In many real world problems, dealing with uncertainty is a significant challenge for mathematical programming and related areas, and typically, standard (mixed-integer) linear programming formulations are not well suited to model such problems. However, a powerful way to express uncertainty or adversarial …

EpIG‐DB: A database of vascular epiphyte assemblages in the Neotropics

Glenda Mendieta‐Leiva, Flávio Nunes Ramos, João Pedro Costa Elias, Gerhard Zotz et autres

Abstract Vascular epiphytes are a diverse and conspicuous component of biodiversity in tropical and subtropical forests. Yet, the patterns and drivers of epiphyte assemblages are poorly studied in comparison with soil‐rooted plants. Current knowledge about diversity patterns of epiphytes mainly stems from …

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Autonomously detecting sensors in fully distributed botnets

Leon Böck, Emmanouil Vasilomanolakis, Jan Wolf, Max Mühlhäuser

Botnet attacks have devastating effects on public and private infrastructures. The botmasters controlling these networks aim to prevent takedown attempts by using highly resilient P2P overlays to commandeer their botnets, and even harden them with countermeasures against intelligence gathering attempts. In fact, …

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I Trust my Zombies: A Trust-enabled Botnet

Emmanouil Vasilomanolakis, Jan Wolf, Leon Böck, Shankar Karuppayah et autres

Defending against botnets has always been a cat and mouse game. Cyber-security researchers and government agencies attempt to detect and take down botnets by playing the role of the cat. In this context, a lot of work has been done towards reverse …