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Die Studienanfänger in den technischen Studiengängen der Hochschulen für angewandte Wissenschaften haben nicht nur in Mathematik sondern auch in Physik sehr unterschiedliche Vorkenntnisse. Obwohl diese Fächer für das grundlegende Verständnis technischer Vorgänge von großer Bedeutung sind, kann die Ausbildung in diesen Bereichen angesichts der begrenzten dafür im Verlauf des Studiums zur Verfügung stehenden Zeitfenster nicht bei Null anfangen. Für Mathematik wurde daher von der Arbeitsgruppe cosh ein Mindestanforderungskatalog zusammengestellt und 2014 veröffentlicht. Er beschreibt Kenntnisse und Fertigkeiten, die Studienanfänger zur erfolgreichen Aufnahme eines WiMINT-Studiums (Wirtschaft, Mathematik, Informatik, Naturwissenschaft, Technik) an einer Hochschule benötigen. Inzwischen hat sich nun eine Arbeitsgruppe von Physikerinnen und Physikern an Hochschulen in Baden-Württemberg gebildet, deren Ziel es ist, einen analogen Mindestanforderungskatalog für den Bereich Physik zu erstellen. Hier wird der aktuell erreichte Stand der Arbeiten vorgestellt.
A physics lab-setup has been developed for engineering students in their first year at university. The so-called LabTeamCoaching helps to improve general lab skills, such as preparing an experiment, writing a documentation, using graphs and drawing conclusions. By using a flipped classroom approach, students get better involved than in our former physics labs when we applied classical methods. This approach will be described and an overview of our 10 years of experience using this method will be given.
One important skill for engineers is the ability of optimizing their experiments. On their job they will often spend a lot more time designing and improving an experimental setup compared to running the actual experiment itself. Is it possible to teach this complex task in physics labs? A method for reaching this goal is proposed an example is given and discussed.
Fast and reliable acquisition of truth data for document analysis using cyclic suggest algorithms
(2019)
In document analysis the availability of ground truth data plays a crucial role for the success of a project. This is even more true at the rise of new deep learning methods which heavily rely on the availability of training data. But even for traditional, hand crafted algorithms that are not trained on data, reliable test data is important for the improvement and evaluation of the methods. Because ground truth acquisition is expensive and time consuming, semi-automatic methods are introduced which make use of suggestions coming from document analysis systems. The interaction between the human operator and the automatic analysis algorithms is the key to speed up the process while improving the quality of the data. The final confirmation of data may always be done by the human operator. This paper demonstrates a use case for acquisition of truth data in a mail processing system. It shows why a new, extended view on truth data is necessary in development and engineering of such systems. An overview over the tool and the data handling is given, the advantages in the workflow are shown, and consequences for the construction of analysis algorithms are discussed. It can be shown that the interplay between suggest algorithms and human operator leads to very fast truth data capturing. The surprising finding is the fact that if multiple suggest algorithms circularly depend on data, they are especially effective in terms of speed and accuracy.
Das WITg wird digitaler
(2019)
Pascal Laube presents machine learning approaches for three key problems of reverse engineering of defective structured surfaces: parametrization of curves and surfaces, geometric primitive classification and inpainting of high-resolution textures. The proposed methods aim to improve the reconstruction quality while further automating the process. The contributions demonstrate that machine learning can be a viable part of the CAD reverse engineering pipeline.
Ceramics are often used in high-temperature applications. Therefore, thermomechanical and heat resistance of ceramic and refractory materials are important. The material behaviour is described by thermal stress resistance. Established material tests to determine thermal shock behaviour are complex. The potential of application-related material testing in combination with simulations is described below.
A new thermal shock application-oriented testing method for ceramic components and refractories
(2019)
Der Einsatz von Keramiken erfolgt oft bei hohen Temperaturen oder großen Temperaturgradienten. Deshalb ist die thermo-mechanische Beständigkeit von keramischen und feuerfesten Werkstoffen wichtig für die Materialauswahl und das Bauteildesign. Das Werkstoffverhalten wird durch die Thermoschock- bzw. Temperaturwechselbeständigkeit beschrieben. Etablierte Werkstoffprüfungen zu ihrer Ermittlung sind komplex und aufwendig. Das Potenzial von anwendungsnaher Werkstoffprüfung in Kombination mit modellbildender Simulation wird beschrieben.
Leichtbauwerkstoffe bewegen sich im Spannungsfeld neuer Werkstoffkombinationen, Herstellungs- und Fügetechnologien sowie von Lebensdauer und Nachhaltigkeit. Besondere Aufmerksamkeit sollte daher hybriden CFK-Metallverbunden gelten. Gefördert von der Internationalen Bodensee Hochschule IBH untersucht etwa das Werkstoffprüflabor der Hochschule Konstanz (HTWG) in einem internationalen Forschungsprojekt die Festigkeit von Sandwich-Verbunden aus Aluminium und CFK.
Zusammenfassende Darstellung der Ergebnisse einer empirischen Studie über Friedens- und Postkonfliktarbeit durch kirchliche Akteure in Indonesien ( Maluku) und auf den Philippinen (Mindanao). Auf Basis der Untersuchung ziehen die Autoren Schlussfolgerungen über die praktische Bedeutung kirchlicher Friedensprojekte nach Konflikten
Drawing on a rich body of multimethod field research, this book examines the ways in which Indonesian and Philippine religious actors have fostered conflict resolution and under what conditions these efforts have been met with success or limited success.
The book addresses two central questions: In what ways, and to what extent, have post-conflict peacebuilding activities of Christian churches contributed to conflict transformation in Mindanao (Philippines) and Maluku (Indonesia)? And to what extent have these church-based efforts been affected by specific economic, political, or social contexts? Based on extensive fieldwork, the study operates with a nested, multi-dimensional, and multi-layered methodological concept which combines qualitative and quantitative methods. Major findings are that church-based peace activities do matter, that they have higher approval rates than state projects, and that they have fostered interreligious understanding.
Through innovative analysis, this book fills a lacuna in the study of ethno-religious conflicts. Informed by the novel Comparative Area Studies (CAS) approach, this book is strictly comparative, includes in-case and cross-case comparisons, and bridges disciplinary research with Area Studies. It will be of interest to academics in the fields of conflict and peacebuilding studies, interreligious dialogue, Southeast Asian Studies, and Asian Politics.
Flatness-based feed-forward control of solenoid actuators is considered. For precise motion planning and accurate steering of conventional solenoids, eddy currents cannot be neglected. The system of ordinary differential equations including eddy currents, that describes the nonlinear dynamics of such actuators, is not differentially flat. Thus, a distributed parameter approach based on a diffusion equation is considered, that enables the parametrization of the eddy current by the armature position and its time derivatives. In order to design the feedforward control, the distributed parameter model of the eddy current subsystem is combined with a typical nonlinear lumped parameter model for the electrical and mechanical subsystems of the solenoid. The control design and its application are illustrated by numerical and practical results for an industrial solenoid actuator.
Rheumatoid arthritis is an autoimmune disease that causes chronic inflammation of synovial joints, often resulting in irreversible structural damage. The activity of the disease is evaluated by clinical examinations, laboratory tests, and patient self-assessment. The long-term course of the disease is assessed with radiographs of hands and feet. The evaluation of the X-ray images performed by trained medical staff requires several minutes per patient. We demonstrate that deep convolutional neural networks can be leveraged for a fully automated, fast, and reproducible scoring of X-ray images of patients with rheumatoid arthritis. A comparison of the predictions of different human experts and our deep learning system shows that there is no significant difference in the performance of human experts and our deep learning model.
CO2 compensation measures, in particular the compensation of flights, are becoming more and more popular. Carbon offsetting is defined as measures financed by donations that save greenhouse gases previously emitted elsewhere through climate protection projects.
CO2 abatement costs are often low in developing countries. This is why most offset projects are implemented there. Nevertheless, this does not mean that the holiday resort and the project country are in any way related to each other.
By linking carbon offset projects with the destination country, the tourist is able to get an impression of the co-financed project. In case such projects are realized in cooperation with the hotel, the hotel operator obtains a new tourist attraction and can demonstrate its efforts to climate protection in a PR-effective way.
Die Hitzewellen der Sommer 2003 und 2015 zeigten wie kritisch langanhaltende Trockenheit nicht nur für die Natur, sondern auch für wassernutzende Unternehmen werden kann. Infolge des Klimawandels wird es entlang der Gewässer Baden-Württembergs immer wieder zu verschärften Niedrigwassersituationen kommen, was unter Umständen zu Wassernutzungskonflikten mit anderen Nutzern führt. Innerhalb dieses KLIMOPASS Projektes liegt der Fokus auf der Identifikation von vorhandenen und im Zuge des Klimawandels potenziell auftretenden lnteressens- und Nutzungskonflikten um die Ressource Wasser. Der Forschungsschwerpunkt bezieht sich hierbei auf zwei beispielhafte Fluss-Einzugsgebiete in Baden-Württemberg (die Murg und der Kocher) sowie aller beteiligten Akteure bzw. Wasserge- und -verbraucher (Energienutzung, Landwirtschaft, kommunale Entwässerung, Tourismus, Ökologie, etc.).
Anhand des Kochers und der Murg wurden mit Hilfe von Umfragen, Experteninterviews und Workshops Nutzungskonflikte identifiziert sowie Handlungsoptionen für eine Niedrigwasservorsorge und ein Niedrigwassermanagement erstellt. Dabei galt es ökonomische, gesellschaftliche und ökologische Belange möglichst adäquat zu berücksichtigen und sämtliche relevanten Akteure (Stakeholder) in einen partizipativen Prozess zu integrieren. Den Erhebungen zufolge treten Wassernutzungskonflikte nicht allgemein sektorenübergreifend auf, sondern sektorenspezifisch. Hierbei stehen die in Konflikte verwickelten Sektoren charakteristischerweise mit mehreren Stakeholder-Gruppen im Widerstreit, andere Akteursgruppen haben wiederum keinerlei Erfahrung mit Konflikten. Weiterhin ist auffällig, dass Niedrigwassersituationen an beiden untersuchten Flüssen lediglich einen Teil der Nutzungskonflikte ausmachen und verstärkt mit anthropogenen Einflüssen in Verbindung gebracht werden.
Dramapädagogik-Tage 2018
(2019)
Der Tagungsband zur 4. Konferenz zu Drama und Theater im Fremd- und Zweitsprachenunterricht versammelt Tagungsbeiträge aus den Bereichen Grundlagen, Forschung und Praxis. Die Beiträge reichen von Begriffsklärungen zur Dramapädagogik über Skizzen aktueller Forschungprojekte hin zu Praxisbeiträgen zu den Themen Process Drama und interkulturelles Lernen, Körpersprache und Fremdsprachenlernen, Fremdsprachenlernen mit Gedichten, reflektiver Praxis, Drama Grammatik und performativer Literatur- und Kulturdidaktik.
Viele touristische Aktivitäten sind mit einem erhöhten Energiebedarf (Strom, Wärme, Kraftstoffe) verbunden, sodass Tourismus nicht losgelöst von der Energiewirtschaft bzw. deren Klimawirksamkeit zu betrachten ist. Das Projekt befasst sich daher mit der Triade Tourismus, Klimawandel und erneuerbare Energienutzung.
Die Veränderungen des Klimas stellen den Tourismus vor neue Herausforderungen. Um diesen Herausforderungen, im Sinne eines nachhaltigen Tourismus gerecht zu werden, kann der Tourismus dem Klimawandel mit Anpassungs- und/oder Vermeidungsstrategien begegnen (vgl. ELSASSER ET AL. 2000). Im Rahmen dieses Projektes werden sowohl mögliche Anpassungs- als auch Vermeidungsstrategien thematisiert. Ein besonderer Fokus wird dabei zum einen auf die Nutzung von erneuerbaren Energien (EE) gelegt. Zum anderen werden die Entwicklungen des Tourismus und die Anpassungen an die Änderungen des Klimas vornehmlich in Bezug auf den Wintertourismus betrachtet. Räumlich konzentriert sich das Projekt auf das Mittelgebirge Schwarzwald.
Due to its economic size, economic policy measures, in particular trade policies, have a far‐reaching impact on global economic developments. This chapter quantifies the economic consequences of US protectionist trade aspirations. It focuses on trade policy scenarios, which have been communicated by the current US administration as potential new trade policies. The chapter draws on the results of a study of the ifo Institute conducted on behalf of the Bertelsmann Foundation. In the first simulation, a retraction from the North American Free Trade Agreement is considered. The chapter then illustrates the potential consequences of a “border tax adjustment” policy. It also simulates further measures to protect the US market by presuming an increase in American duties. The chapter presents robust quantitative results that can be expected if an increasingly protectionist US trade policy were to be implemented.
When a country grants preferential tariffs to another, either reciprocally in a free trade agreement (FTA) or unilaterally, rules of origin (RoOs) are defined to determine whether a product is eligible for preferential treatment. RoOs exist to avoid that exports from third countries enter through the member with the lowest tariff (trade deflection). However, RoOs distort exporters' sourcing decisions and burden them with red tape. Using a global data set, we show that, for 86% of all bilateral product-level comparisons within FTAs, trade deflection is not profitable because external tariffs are rather similar and transportation costs are non-negligible; in the case of unilateral trade preferences extended by rich countries to poor ones that ratio is a striking 98%. The pervasive and unconditional use of RoOs is, therefore, hard to rationalize.
Die Bodenseeregion gilt als populäre Freizeit- und Tourismusdestination, mit der ein vielfältiger Naturraum, ein angenehmes Klima sowie eine fruchtbare Landwirtschaft verbunden werden. Der Kulturtourismus ist dabei – je nach Bodenseedestination in unterschiedlich starker Ausprägung – nicht nur ein wichtiger Baustein für die Erweiterung der touristischen Angebotspalette, sondern auch ein wesentlicher Faktor für die Lebensqualität am Bodensee.
Für die Tourismuswirtschaft und insbesondere den Kulturtourismus ist die Inanspruchnahme von Knowhow der Kreativwirtschaft z. B. in Form von Produkten und Dienstleistungen des Presse-, Rundfunk-, Software-, und Werbemarkts unverzichtbar. Die Kreativwirtschaft ist mit Teilmärkten wie der Musikwirtschaft, den darstellenden Künsten oder dem Kunstmarkt ein wichtiger Inhaltslieferant für kulturtouristische Angebote.
The aim of this paper is to portray the risks of climate change for low mountain range tourism and to develop sustainable business models as adaption strategy. A mixed-method-approach is applied combining secondary analysis, a quantitative survey, and qualitative in-depth-interviews in a transdisciplinary setting. Results show, that until now, climate change impacts on the snow situation in the Black Forest – at least above 1,000 m – have been mild and compensated by artificial snowmaking, and up to now have not had measurable effects on tourism demand. In general, the Black Forest appears to be an attractive destination for more reasons than just snow. The climate issue seems to be regarded as a rather incidental occurrence with little importance to current business decisions. However, the authors present adaption strategies as alternatives for snow tourism, e. g. the implementation of hiking hostels, since climate change will make winter tourism in the Black Forest impossible in the long run.
This paper presents a framework to assess the cultural sustainability of Aboriginal tourism in British Columbia, which meets must take into account the protection of human rights, good self-governance, identity, control of land, the tourism product’s authenticity, and a market-ready tourism product. These criteria are specified by two indicators each. The cultural sustainability framework was generated by triangulating qualitative research methods like experts’ interviews, secondary research, and participant and non-participant observations. This paper is thus conceptual in nature and inductive in its approach. It partly leverages a collaborative approach, as it includes interviewees in an iterative research loop. Furthermore, the paper shows why cultural sustainability is a determinant of the success of Aboriginal tourism.
Border issues continue to be of interest in tourism literature, most significantly that which focusses on cross-border shopping (e.g., currency values, taxation,
security). Borders as destinations are recognized in this area but the notion of shopping as a destination is perhaps less acknowledged. Following a review of the relevant literature, including the presentation of a table summarizing key areas of cross-border tourism research around the world, this paper presents a unique example of a border region with two-way traffic for cross-border shopping tourism: the border between Germany and Switzerland.
The particular case is where two cities meet at the border: Konstanz, Germany and Kreuzlingen, Switzerland. An intercept survey and key informant interviews were conducted in both communities in the spring of 2015. The results indicate high levels of traffic for various products and services. And while residents are generally satisfied with cross-border shopping in their communities, there are emerging issues related to volume and, in particular, too many in Konstanz and not enough in Kreuzlingen.
The paper concludes with a discussion that includes the development of a model cross-border shopping tourism that recognizes the multiple layers in space and destination.
The paper concludes with a proposal to further investigate the particular issues related to the volume on both sides of borders where cross-border shopping is the destination.
Purpose – The purpose of this paper is to examine visitor management in the German-Swiss border area of the Lake Constance region. Taking a customer perspective, it determines the requirements for an application with the ability to optimize personal mobility.
Design/methodology/approach – A quantitative study and a survey of focus groups were conducted to identify movement patterns of different types of visitors and their requirements concerning the development of a visitor management application.
Findings – Visitors want an application that provides real-time forecasts of issues such as traffic, parking and queues and, at the same time, enables them to create a personal activity schedule based on this information.
Research limitations/implications – Not every subsample reached a sufficient number of cases to yield representative results.
Practical implications – The results may lead to an optimization and management separation of mobility flows in the research area and be helpful to municipal planners, destination marketing organizations and visitors.
Originality/value – The German border cities of Konstanz, Radolfzell and Singen in the Lake Constance region need improved visitor management, mainly because of a high level of shopping tourism by Swiss visitors to Germany. In the Summer months, Lake Constance is also a popular destination for leisure tourists, which causes overtourism. For the first time, the results of this research presented here offer possible solutions, in particular by showing how a mobile application for visitors could defuse the situation.
The project aims for the development of a new material system from high tensile stainless steel wires as net material with environmentally compatible antifouling properties for off-shore fish farm cages. Therefore, current net materials from textiles (polyamide) shall be partially replaced by high strength stainless steel in order to have a more environmentally compatible system which meets the more severe mechanical loads (waves, storms, predators (sharks)). With a new antifouling strategy current issues like reduced ecological damage (e.g. due to copper disposal), lower maintenance costs (e.g. cleaning) and reduced durability shall be resolved.
Thermal shape memory alloys show extraordinary material properties and can be used as actuators, dampers and sensors. Since their discovery in the middle of the last century they have been investigated and further developed. The majority of the industrial applications with the highest material sales can still be found in the medical industry, where they are used due to their superelastic and thermal shape memory effect, e.g. as stents or as guidewires and tools in the minimal invasive surgery. Particularly in recent years, more and more applications have been developed for other industrial fields, e.g. for the household goods, civil engineering and automotive sector. In this context it is worth mentioning that for the latter sector, million seller series applications have found their way into some European automobile manufacturers. The German VDI guideline for shape memory alloys introduced in 2017 will give the material a further boost in application. Last but not least the new production technologies of additive manufacturing with metal laser sintering plants open up additional applications for these multifunctional materials. This paper gives an overview of the extraordinary material properties of shape memory components, shows examples of different applications and discusses European trends against the background of the most recent standard and new production technologies.
Thermochemical surface hardening is used to overcome the weak mechanical performance of austenitic and duplex stainless steels. Both low-temperature carburizing and nitrocarburizing can improve the hardness, wear, galling, and cavitation resistance, while maintaining their good corrosion resistance. Therefore, it is crucial to not form chromium-rich precipitates during hardening as these can deteriorate the passivity of the alloy. The hardening parameters, the chemical composition of the steel, and the manufacturing route of a component determine whether precipitates are formed. This article gives an overview of suitable alloys for low-temperature surface hardening and the performance under corrosive loading.
Fachvortrag auf dem Swiss Tribology Symposium, 12.11.2019, Hightechzentrum Aargau, Brugg, Schweiz
Fachvortrag auf der 10th International European Stainless Steel Conference and 6th European Duplex Stainless Steel Conference (ESSC & DUPLEX 2019), 30.09. – 02.10.2019, Vienna, Austria
Pitting susceptibility of metastable austenitic stainless steels as a function of surface conditions
(2019)
Fachvortrag auf der 10th International European Stainless Steel Conference and 6th European Duplex Stainless Steel Conference (ESSC & DUPLEX 2019), 30.09. – 02.10.2019, Vienna, Austria
Postervortrag auf dem European Corrosion Congress (EUROCORR 2019), 09.-13.09.2019, Sevilla, Spain (Poster Programme - Poster number: P-150)
Pitting susceptibility of metastable austenitic stainless steels as a function of surface conditions
(2019)
The influence of surface roughness and local defects on pitting susceptibility of type 304 (UNS S30400) and type 301 (UNS S30100) in chloride solution were investigated. Because the mechanical properties can be regarded as decisive for the achieved surface quality, different properties of the base material were obtained by cold rolling the metastable austenites. This was done before the surfaces were finished. Therefor the surfaces were treated by different grinding parameters to generate different surface conditions and different defects. As a reference, different standardised surface finishes were used.
By using and comparing different methods for the characterization of surface roughness and surface texture, it is possible to find a relationship between the quantity and characteristics of local defects on the one hand and pitting susceptibility on the other hand. For the machining parameters used, a ranking of the influencing factors on the corrosion resistance achieved could be determined.
The automated application of software-based solutions for estimating the pitting susceptibility of machined surfaces and components will be discussed using concrete examples.
The first part of this work shows the development and application of a new material system using high strength duplex stainless steel wires as net material with environmentally compatible antifouling properties for off-shore fish farm cages. Current net materials from textiles (polyamide) shall be partially replaced by high strength duplex stainless steel in order to have a more environmentally compatible system which meets the more severe mechanical loads (waves, storms, predatores (sharks, seals)). With a new antifouling strategy current issues like reduced ecological damage (e.g. due to copper disposal), lower maintenance costs (e.g. cleaning) and reduced durability shall be resolved.
High strength steel wires are also widely used in geological protection systems, for example rockfall protection or slope stabilisation. Normally hot-dip galvanised carbon steel is used in this case. But in highly corrosive environments like coastal areas, volcanic areas or mines for example, other solutions with a high corrosion resistance and sufficient mechanical properties are necessary. Protection systems made of high strength duplex stainless steel wires enable a significantly longer service life of the portection systems and therefore a higher level of security.
Magnetic effects on austenitic stainless steels, formed during a low temperature carburizing depending on the alloy composition are discussed in this paper. Samples of different austenitic stainless steel alloys have been subjected to a multiple low-temperature carburization. Layer characteriszation with light microscope and hardness profiles show a growth of the layer thickness. The formation of an expanded austenite layer (lattice expansion) could be detected by X-ray diffraction (XRD). Feritscope was used to determine the magnetizability, whereby not all austenitic alloys form a magnetizability after treatment. Furthermore, test procedures were developed to visualize the magnetizability. For this purpose, magnetic force microscope measurements and investigations with ferrofluid were carried out and a fir tree ferromagnetic layer strucure could be proven.
Martensitic stainless steels has a wide use, for example for blades, knifes or cutter. The best corrosion resistance of these materials is in hardened condition. For better mechanical properties a tempering is normally applied to increase the durability. The tempering is also reducing the hardness and finally the corrosion resistance. Austempering is meanly used at low alloyed steels and brings a good compromise between durability, hardness and corrosion resistance. For martensitic stainless steels, austempering is normally not a topic because of the very long tempering times.
This work shows first results of austempering of some standard martensitic stainless steels and the influence to corrosion resistance. For reference, hardened and also hardened and tempered specimens were investigated. The corrosions resistance was investigated by electrochemical methods.
The cornerstone of cognitive systems is environment awareness which enables agile and adaptive use of channel resources. Whitespace prediction based on learning the statistics of the wireless traffic has proven to be a powerful tool to achieve such awareness. In this paper, we propose a novel Hidden Markov Model (HMM) based spectrum learning and prediction approach which accurately estimates the exact length of the whitespace in WiFi channels within the shared industrial scientific medical ISM) bands. We show that extending the number of hidden states and formulating the prediction problem as a maximum likelihood (ML) classification leads to a substantial increase in the prediction horizon compared to classical approaches that predict the immediate (short-term) future. We verify the proposed algorithm through simulations which utilize a model for WiFi traffic based on extensive measurement campaigns.
The Industrial Internet of Things (IIoT) will leverage on wireless network technologies to integrate in a seamless manner Cyber-Physical Systems into existing information systems. In this context, the 6TiSCH architecture, proposed by IETF, represents the current leading standardization effort to enable timed and reliable data communication within IPv6 networks for industrial applications. In wireless networks, Link Quality Estimation (LQE) is a crucial task to select the best routes for data forwarding, regardless of unpredictable time varying conditions. Although, many solutions for LQE have been proposed in literature, the majority of them are not designed specifically for 6TiSCH networks. In this paper, we analyze the performance of existing LQE strategies on 6TiSCH networks.
First, we run a set of simulations to measure the performance of one existing LQE strategy in 6TiSCH. Our simulations show that such strategy can result in measurements with low accuracy due to the 6TiSCH default timeslot allocation strategy. Consequently, we propose an extension of the 6TiSCH Minimal Configuration that allocates specific timeslots for the transmission of probing messages to mitigate the problem. The proposed methodology is demonstrated to effectively reduce the LQE error.
