Marcus Neuer

Marcus Neuer
innoRIID GmbH · Research and Development

Dr. rer. nat. Dipl.-Phys.

About

97
Publications
23,632
Reads
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203
Citations
Citations since 2016
69 Research Items
138 Citations
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Introduction
The department primarily develops nuclear detection products with latest sensorial and electronics hardware designs, innovative machine learning algorithms and easy-to-use operator software concepts. It also performs industrial research in the fields of AI application, novel sensorial strategies for radiation detection, data fusion and computer linguistics.
Additional affiliations
October 2021 - present
RWTH Aachen University
Position
  • Lecturer
Description
  • Lecture on Data Mining for Industrial Applications, Machine Learning
June 2016 - June 2016
mndevelopments
Position
  • Freelance
Description
  • These three prominent visualization packages for Pyhton were introduced in a 6h course for 12 participants. It also depicted the different advantages of each framework and potential applicability to web frameworks.
April 2016 - April 2016
mndevelopments
Position
  • Python for beginners
Description
  • Bi-Weekly course on Python with 2 hours per evening. This course was intended for scientific personnel.
Education
March 2003 - January 2006

Publications

Publications (97)
Conference Paper
Mobile radiation detection requires large volume detector equipment and high sensitivity. The paper presents a shapelet extraction method that is applied to the time series spectral data of such a mobile search system. The detection capability of a system is often limited by varying background effects. With the technique, time pattern are analysed...
Conference Paper
Der Vortrag blickt auf 10 Jahre angewandter Forschung auf den Gebieten der Digitalisierung, des maschinellen Lernens und der Optimierung von Regelungen zurück. Der Digitale Zwilling wird als Kernelement einer autonomen, modell-basierten Metaregelung identifiziert, da er in der Lage ist seine simulativen Modelle einzusetzen, um direkt in Produktions...
Conference Paper
Semantic tools are applied to evaluate the problem-solution-impact dependencies in EU research projects. A set of 46 projects was selected, which focused on automation and control research for steel production. The talk reports on assorted results and indicates how steel production could improve by adopting new technologies.
Experiment Findings
Full-text available
Evaluation of the most relevant methods used in RFCS projects regarding automation downstream.
Experiment Findings
Full-text available
All projects disseminated by ControlInSteel were carefully assessed with respect to their taxonomical dimensions.
Experiment Findings
Full-text available
Dimensional analysis yields a clear disadvantage of worker safety and worker performance related impact. Compared to quality improvement, which was by far impacted by the highest number of projects, enabling technologies, power consumption and emission reduction are considered to be underrepresented as well.
Conference Paper
Full-text available
With over 45 high profile research projects, funded by the Research Fund for Coal and Steel (RFCS), the project team revisited the problems, solutions, barriers and impact of these works. Using semantic tools like taxonomies and ontologies, it was possible to establish a database with project results at www.controlinsteel.com to allow people, stake...
Conference Paper
Measuring soil moisture has been in focus of research works in the field of radiation physics for a long time. Some previous works use neutron detectors stationed on soil fields. They analyse the ratio of thermal and epithermal neutrons, as cosmic neutrons are attenuated by the water contained in the soil. Contrarily to those concepts, the present...
Conference Paper
Full-text available
Automation plays a key role for the production processes in steel industry. With a complex and especially interdependent chain of transformation, heating, cooling and refinement stages, each process features a diversity of individual challenges with respect to automation. Especially the Industry 4.0 efforts and the groundbreaking changes induced by...
Conference Paper
Full-text available
Industry 4.0 introduced methods for the efficient integration of data across steel plants. An automatic exploitation of this data for process automation is therefore now of central importance. Driven by the latest research and an increasing amount of available industrial process data, diverse techniques of machine learning, a subfield of artificial...
Conference Paper
Full-text available
In December 2014, the BBC [1] and the Heise Security Service [2] unanimously reported that a blast furnace in a German steelworks had suffered "massive damage" following sabotage of the plant's computer network. This information was based on a report by the German Federal Office for Information Security (BSI) [3]. Today, in the age of Industry 4.0,...
Presentation
German presentation to an expert audience in automation at the iba Tag 2021. This talk is part of the ControlInSteel dissemination activities from 2020 - 2022.
Chapter
The implementation of artificial intelligence faces different challenges of infrastructural, data related, security related and social scope. These aspects are discussed, reflecting on the requirements of introducing such a technology in a broader way. Machine learning, as subfield of artificial intelligence, benefits from advances in Big Data scie...
Chapter
An example of anomaly detection for industrial production processes is shown, based on a variational autoencoder. Starting with a simple probability corridor, the concept of autoencoding is introduced and variational encoding is reviewed. With an input enrichment that utilizes difference optimization of a two class test set, the varational encoder...
Conference Paper
Steel production relies on profound understanding of the involved processes as well, as on a consequent adoption of groundbreaking technologies. One such technology, igniting an impressive manifold of solutions for data analysis, optimization and process control, is machine learning. Following in the wake of Digitalisation and Big Data, it appears...
Conference Paper
One main challenge in the application of modern digital concepts is to bring together two very different worlds: the real production world and the cyberspace. The latter is a virtual world which helps to acquire and manage data, calculates scheduling, allocates products to customers and sets up the processes. Their combination forms a cyber-physica...
Patent
The invention relates to a measuring roller (1) for determining a property of a strip-type product, in particular a metal strip, guided over the measuring roller.
Conference Paper
Artificial intelligence is impacting various areas of research and industry. In spectroscopic applications, the results and measurements are heavily influenced by means of algorithms. These help to interpret the results of a measurement by introducing prior knowledge, a different perspective or even fuse information gained from secondary sensors. T...
Conference Paper
A method is shown to improve the accuracy of dose rate measurements for handheld instrumentation over the range of 50keV to 3MeV. Dose rate estimation in handheld devices is usually done by summing up the channel data of the radiation spectrum. In this sum, weights are applied to correct for the sensitivity of the used detector and allowing for a d...
Conference Paper
A machine learning method is shown that deconvolves spectra in a single step procedure. This method is based on a special neural network, Bernoulli type restricted Boltzmann machine (RBM). Using sophisticated Geant4 simulations to produce mono energetic line response vectors of a Sodium Iodide detector, this RBM is trained to learn the detector res...
Conference Paper
A technique is shown to estimate the location of a source with a single detector. The method exploits an angular histogram of counts calculated by the fusion of the digital compass data with spectroscopic quantities like the count rate. The perimeter around the user is divided into N discrete segments. Storing the count rate in dependency of the an...
Conference Paper
Cyber-attacks on the European steel producers have become a real threat, where massive production breakdowns are rare, but very expensive events. Companies prepare for these problems, often only focussing on the IT level, where firewalls, internet restrictions or staff compliance rules are enforced to secure the on-premise networks. But in the era...
Conference Paper
Auxialiary aggregates like the cooling of rolls or ventilation systems show reasonable potential for economic and ecological impacts. But those units have only been scarcely considered in optimisation attempts before and there was an urgent need to explore how auxialiary aggregates can be efficiently automatized by smart control strategies. The tal...
Conference Paper
Elaborating the difference between digital shadow and digital twins, the talk introduces concepts and technologies for putting digital twins into practice in the process industries. While many people think that digital twins are more or less simulations, the talk also points out the importance of interaction with the processing, which is one defin...
Conference Paper
The broad progress of digitalisation provides an increasing amount of online available data, often large data streams, from all relevant production processes. In many cases, this data is stored and used for posterior data analytics to explore the reasons for malfunctions or product degradation. The talk presents new search and monitoring techniques...
Conference Paper
In the challenging international steel market, European steel producers must face strong competition. Technological leadership, especially regarding production process optimization helps companies to be ahead of the market game. One key enabler is modern process automation, which aims for yield increase, better energy efficiency, constant or improv...
Conference Paper
Cyber-attacks on the European steel producers have become a real threat, where massive production breakdowns are rare, but very expensive events. Companies prepare for these problems, often on the IT level, where firewalls, internet restrictions or staff compliance rules are enforced to secure the on premise networks. For the staff this topic often...
Conference Paper
The concept of digital twins is presented. Twins of products, machines and sensors can talk to each other, not only exchanging data but also results of prediction models. In this sense, the twin utilises not only existing information, it autonomously evaluates mathematical or statistical models, that help to anticipate potential future states. Th...
Conference Paper
An introductory lecture on digital twins. The difference between digital shadow and digital twin is discussed. The fundamental ability of a twin to interact with the process chain of its real counterpart is presented, following a rigorous development of the communication stability using graph theory and its relation to a Dirac-notation based state-...
Article
Various methodological aspects and decision modules developed by the VDEh Institute for Industrial Research which show the benefits of digitization of the steel industry have been presented. Understanding the structure and framework conditions of interdepartmental production data, smart management of a big data array, semantic modeling of the techn...
Presentation
• Neue Technologien in der Stahlindustrie erfolgreich erproben und zum Einsatz bringen • Digitale Zwillinge von Produkten und Maschinen werden zu aktiven Komponenten und ermöglichen neue Lösungsstrategien • Wohin führen uns z.B. Technologien wie Blockchain oder Tangles? Werden durch sie sogar neue Produkte möglich?
Conference Paper
The description of physical processes and perhaps nature as such was always a main desire and motivation that propelled research in computer science. Simulation complexity grew, providing the ability to compute an increasing number of difficult equations. The mathematical discipline of numerics could unfold its full potential and it´s fundament was...
Presentation
Digital twins can become players in cross-process optimization tasks. To do that, a passive data twin must become more than a static data collection. This aspect of “activity” is realized when twins are implemented as agents, small autonomous computer programs. Such agents can essentially interact with their environment, either by communication or...
Article
The paper presents a distributed intelligence-based system concept for modeling and self-optimizing the production of flst steel products. The concept is implemented through a multi-agent system approach. In particular, three types of autonomous agents are modelled, each playing a different role in the steel production chain. The agents are designe...
Technical Report
Steel is produced via a series of different, interdependent processes. In the past, most of these processes have been individually optimized, but rarely considered constraints of follow-up aggregates. A huge improvement potential can therefore be achieved by optimizing the process chain as such, introducing smart processes and smart products that a...
Article
Werkstoff 4.0 ist schon keine Vision mehr: Welche Möglichkeiten Werkstoffdaten im Prozess und bei der Verarbeitung bieten, hat sich in Forschungsprojekten gezeigt. Davon können Medizinprodukte profitieren. https://medizin-und-technik.industrie.de/digitalisierung/digitaler-zwilling-werkstoff-4-0/
Article
The rise of renewable energy sources increases power fluctuations in the power network due to daily and seasonal effects which have sensible impacts on pricing and tariffs. According to the Smart Grid Initiative the closer cooperation between electrical energy suppliers, retailers, network operators and authorities on one side and consumers on the...
Conference Paper
Deontic logic allows the formal description of obligation and permissions. A reasoning algorithm is presented, that applies these formal concepts for enhancing the performance of an existing nuclide identification algorithm. Radio-isotope identification devices rely on a robust deduction of those nuclides, contributing to the radiation field. Tradi...
Conference Paper
Most spectroscopic applications, especially homeland security relevant equipment relies on well-calibrated spectral data. A Kalman filter is applied to the known problem of stabilization, which means online calibration of a scintillation detector to a predefined reference peak. The method uses stochastic assumptions on the measurement uncertainties...
Conference Paper
Kommunikation ist ein zentrales Element um die Integrationsbestrebungen der Industrie 4.0 Vision zu realisieren. Agenten sind ein Werkzeug um Prozess- und Werksübergreifende Kommunikation zu ermöglichen, gleichsam erlauben sie eine verteilte, dezentral Optimierungsstrategie anzusetzen. Der Weg hin zum digitalen Zwilling wird exemplarisch für die St...
Conference Paper
Digitalisierung ist Antrieb einer sehr umfassenden Wandlung. Um die Vielzahl an gesammelten Daten einer Produktion gewinnbringend zu nutzen, benötigen wir den digitalen Zwilling des Produkts. Er wird zum Werkstoff 4.0, und verleiht dem Produkt Intelligenz und die Fähigkeit selbst in seinen eigenen Produktionsablauf einzugreifen. Kommunikation, das...
Chapter
Es gibt weltweit einen erhöhten Bedarf an Stahl, aber die Stahlherstellung ist ein enorm anspruchsvoller und kostenintensiver Prozess, bei dem gute Qualität schwer zu erreichen ist. Die Verbesserung der Qualität ist noch immer die größte Herausforderung, der sich die Stahlbranche gegenüber sieht. Das EUProjekt PRESED (Predictive Sensor Data Mining...
Article
Digitalization induces far reaching consequences, leading to a novel industrial era envisioned as Industry 4.0. Complete computational coverage of the production chain and the products fosters vertical and horizontal integration, allowing a cross-process, holistic optimization for the production as such. Products and processes become intelligent by...
Article
Digitalization induces far reaching consequences, leading to a novel industrial era envisioned as Industry 4.0. Complete computational coverage of the production chain and the products fosters vertical and horizontal integration, allowing a cross-process, holistic optimization for the production as such. Products and processes become intelligent by...
Conference Paper
Pickling lines are often considered as a bottleneck of steel production. Increasing the throughput has been the declared goal of many research projects. Yet, high quality pickling results depend on a complicated mixture of constraints like careful choice of pickling speed, suited entry temperature and a good estimate about how many scale resides on...
Conference Paper
The European steel industry identified digitization as a key enabling technology not only for maintaining its world-wide leading role with respect to product quality, but also for pushing the limits and raising efficiency, reliability and quality to a next level. Recently, many steel companies updated and overhauled existing infrastructures and pre...
Conference Paper
European steel is decisively driven by product quality and customer demand. Industry 4.0 is yet a blurry term, nowadays being praised for bringing disruptive advantages for modern manufacturing industries in the next decades. Many people are overwhelmed by the diversity invoked by the word Industry 4.0 and although many applications are emerging, p...
Technical Report
Final report for the EU RFCS project I2MSteel conducted from July 2012 to December 2015.
Conference Paper
A technique is presented to optimize the throughput of a pickling line by combining recent Industry 4.0 architecture with process models. So-called autonomous agents act as virtual representatives of the coils and the processes. These smart objects have access to the surface inspection data after hot rolling and after the pickling line, as well as...
Article
The steel industry is an important consumer of electrical energy having a significant impact on the electricity network and accounting to a significant part of production costs. Thus, there is the opportunity of closer cooperation between grid operators and steel industry to improve the power consumption prediction and actively contribute to a secu...
Conference Paper
A technique is presented to algorithmically evaluate prompt gamma neutron activation spectra, which were produced through excitation of specific material samples. The excitation is done with a neutron generator that provides a switchable, artificial form of neutron radiation. To evaluate these spectra, a mathematical transformation based on derivat...
Conference Paper
A method is presented that uses spectroscopic data and the sensorial output of a gyroscope to create a soft sensor for the incident direction of the radiation. The method can be applied by any handheld radiation detection equipment that is continuously moved by the operator in some regular waving or panning motion. The gyroscope output consists of...
Conference Paper
Scattering and attenuation have significant impact on the spectrum. For submersible nuclide identification devices, it is mandatory to still provide high quality identification results, even if the instrument is in the water. A technique is shown, to treat the effects of water scattering. This is done by combining the so-called dynamic derivative c...
Article
A multi-agent system for the steel production is presented. It re-allocates off-spec products to existing alternative orders. The system consists of three main Industry 4.0 components: agents, service-oriented architecture (SOA) and a semantic modelling of the process chain. Using economic principles like virtual marketplaces, the solution of the r...
Article
Daily production of hot-rolled steel is analyzed from the point of view of its correspondence to aimed strip thickness. New distribution of steel products using 12M Steel is suggested. Possible technological roots for hot rolled strip are displayed with explanation of operating algorithm by ArcelorMittal for efficiency and suitability of taken tech...
Conference Paper
Stahl wird in einer Reihe verschiedenster Prozesse hergestellt. Die vorliegende Arbeit beschäftigt sich mit der Umplanung von Stahlprodukten im Falle von Prozessfehlern oder Störungen. Eine alternative Prozessroute wird vorgeschlagen, in Abhängigkeit der noch sinnvoll erreichbaren Produktqualität und den synchron gerade vorliegenden Aufträgen durch...
Conference Paper
A novel automation paradigm based on autonomous agents, service-oriented architecture and ontologies is presented. It works on top of brown-field IT environments and acts as cross-level communication enabler within the IT and automation landscape of steel producers.
Article
A system is presented to dynamically re-allocate steel products, which do not meet the requirements of their original order. Typically, these products have to be sold on a less profitable secondary market. With the novel approach, they can be allocated to an alternative primary order. For hot rolled coils, the re-allocation also considers to furthe...
Conference Paper
A stabilization concept based on a self-learning R-Tree index method is presented and demonstrated with measurements from a 1.5’’x1.5’’ cerium bromide detector. The concept uses a cognitive filter, a digital filter for nuclear signals that continuously updates itself to the current temperature by adjusting the filter components. The R-Tree combines...
Conference Paper
An analytical response function is presented that is based on a perturbed Pearson-IV model for the peak shape and additional models for the first four moments of the distribution, mean, variance, skewness and kurtosis. The parametrisation of these moment models is acquired by using an evolutionary ensemble algorithm, delivering corresponding energy...
Article
Full-text available
A method is shown to estimate the position of a radioactive source by fusing the data from a sodium iodide detector and a gyroscope while panning the detector. Based on simple geometry considerations, the search motion of a detector is modelled as angular panning. Correlation of both sensor streams is shown as a predictor for the direction of the i...
Conference Paper
Over the last decade, the quality of European steel has improved significantly, ensuring reliable products that withstand the highly competitive nature of nowadays market. Still, a notable amount of coils of high quality, that do not meet the demands of their original order need to be sold via secondary channels to gain a reasonable profit. On the...
Conference Paper
Full-text available
A digital filter is presented that adapts automatically to the shape of a nuclear signal to stabilise against temperature induced peak shifting. The filter is called cognitive as it extracts the information about the exponential decays and determines the scintillation material intrinsically. The latter is done with a pole deconvolution approach. Ba...
Conference Paper
A method is described to automatically generate spectrum reference data for radioisotope identification devices respecting a detectors physical individuality. It extracts the peak shape and non-proportionality characteristics of scintillation and CZT detectors. The representation of these quantities is done with evolutionary ensembles, groups of N-...
Article
The shape of the nuclear signal from scintillators contains information about the detection material from which it originated and its current temperature. A digital filter for this type of signals is presented that automatically extracts both of these pieces of information from the shape of the signals and controls the temperature dependency of the...
Article
A technique for the spectral identification of strontium-90 is shown, utilising a Maximum-Likelihood deconvolution. Different deconvolution approaches are discussed and summarised. Based on the intensity distribution of the beta emission and Geant4 simulations, a combined response matrix is derived, tailored to the β- detection process in sodium io...