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In this project we develop an intelligent water meter based on software solutions offered by the IOTA Foundation. The water meter allows the customer to map water usage in real-time and pay water on demand, as well as the water provider to map water usage on a greater scale, regulate water supply during low- demand phases and offers regulatory functions to prepare for drought or humid climate, and to incentivise sustainable water usage in high-demand fields like agriculture. This functionality is phrased into a research issue:
Invention of a working prototype to demonstrate the IOTA Streams and Wallet protocols for a meter with additional focus on economic efficiency and the technical preparation of scalability.
Utilizing the IOTA streams protocol, a next generation secure data connection is established between the water meter and a server-sided software application. On this connection, water consumption is mapped into a data bench, and informative data and commands are issued to the graphical interface of the meter.
The IOTA wallet library is leveraged to provide customer accounts corresponding to their meter. IOTA tokens can be send to the account, which grants access to water in a matter of seconds. Depending on the regulatory scenario, water flow can be stopped as soon as the account is exhausted (i.e. public well), or an overdraw can be established in order to guarantee fulfilment of basic human rights (i.e. private households).
Since pricing data can be calculated server-sided and water consumption is mapped in very narrow intervals of as low as 4 seconds, the price can be used as tool to regulate consumption.
The physical components include an electrical ball valve to shut down water flow automatically, a command line interface to provide informative data,, a Raspberry Pi running the client-sided software application, and a water meter with MBus-Interface, as well as a Controlling Board to connect the Raspberry Pi with both peripheral devices.
The finished prototype shows, that water consumption can be mapped on a highly secure level, in near real-time, from afar, flexible for most applications.
Objective: Sagittal balance (SB) plays important role in the successful treatment of spinal disorders. Segmental lordosis is an important SB parameter in spinal surgery and diagnosis, which can help to ensure proper surgical planning and better postoperative outcomes. The manual measurement of segmental lordosis is associated with problems such as time-consuming procedures, high error rates, and poor reproducibility.
The bachelor thesis proposes a solution by exploring and evaluating a more efficient and reliable AI-based method for determining segmental lordosis in preoperative patients, which is compared to measurements made by experienced physicians.
Methods: hidden due to a non-disclosure agreement.
Results: hidden due to a non-disclosure agreement.
Conclusions: hidden due to a non-disclosure agreement.
In this study more than 150 kg real waste from electrical and electronic equipment (WEEE) shredder residues from different European dismantling plant were treated by laserspectroscopic flouroescence and solvent-based recycling process. Currently, the samples used are excluded from material recycling and remain as side streams in state-of-the-art plastic recycling plants. The main reason why the waste streams are not currently recycled is due to the fact that they contain flame retardants that are already banned by different EU regulations (e.g. REACH, POP) and must be removed before the recyclates produced can be used again in products on the market. Conventional recycling technologies cannot separate these hazardous flame retardants from the polymers, therefore the solvent-based recycling process was used for this study. The focus within this work was the upscaling of the CreaSolv® Process from the laboratory scale to the small technical scale to provide larger quantities of recyclates. Sensor-based sorting process and CreaSolv® Process were combined to achieve easier handling and better yields of recyclates. By means of safe solvents a significant decrease of halogen content of (up to 98%) was achieved within the applied methods. Mass balances were determined, and gas chromatography-electron capture detector (GC-ECD) as well as energy dispersive X-ray fluorescence (EDXRF) measurements provided data on the different flame retardants and halogen content of each recyclate. As a result, the recyclates produced comply with the limit values of the EU directives (e.g. POPs, REACH). Melt flow analysis and differential scanning calorimetry (DSC) were carried out on the recyclates for a quality evaluation and revealed that the recyclates have similar properties to virgin materials. Based on this work, the upscaling of the CreaSolv® Process is able to recycle WEEE containing pollutants and at the same time produce recyclates with good mechanical properties.
Natural Language Processing (NLP) is a wide area in computer science and software engineering that finds its application not only in such fields as machine learning or artificial intelligence, but also has very quickly become a very popular solution to various questions and issues raised in the academic field. Those issues include information classification, text analysis, performing a so-called “smart search”, information grouping, providing feedback to academic papers, and many more. The application designed and implemented for this thesis targets solving a similar problem, which is described in details below.
The faculty of Physical Engineering and Informatics at the Westsächsische Hochschule Zwickau uses a software tool called “Quest”. The “Quest” serves as an online platform that enables students to ask questions regarding the module material introduced by the teaching professors. The professors can use these questions in order to keep track of the topics rising the most amount of uncertainty, as well as to clarify those questions during the lectures. Since the modules repeat over time, similar or identical questions are frequently asked by students.
The current functionality of the “Quest” tool, however, does not provide grouping or clustering questions with a similar content into one category. The reason why this is important is because in the future phases of the improvement of the functionality of the “Quest”, professors want to be able to link similar questions with a learning material or online resources that the students can benefit from. This, however, is only possible when each incoming question is labeled with a certain category, and all previously inputted questions associated with this category become visible through the UI of the tool. That would allow students to review the questions referring to the same category that were previously asked by others, as well as to get access to the study materials or resources associated with that category.
The functionality described above would significantly improve the study process and therefore a solution to this problem is needed. One way to solve this issue would be to perform a manual classification of existing questions into associated categories, which given the large size of the question database would be quite time- and effort-consuming. Another option would be to build an application that would be able to analyze the existing dataset of questions and, with the help of the NLP techniques, classify new questions asked by students and identify the similar ones from an existing database.
The tool implemented for the above-mentioned purposes aims to serve as text analytics and classification application that would be able to find and categorize similar text and questions provided by students and/or professors at the Westsächsische Hochschule Zwickau.
This bachelor thesis demonstrates the process of building a software tool using certain NLP techniques, such as tokenization, model training, categorization, NER (Named Entity Recognition), and POS (Parts of Speech tagging), which are defined and described in Chapter 2: “Literature Overview”. The relevance of these techniques in terms of the classification tool built in the context of this thesis is discussed in the section “Selection of NLP tools and techniques” of the “Methodology” chapter.
The aim of this thesis is to describe the methods and software tools used to develop a restful API for text classification, as well as to compare and analyze the effectiveness of two common NLP classifiers – the Naïve Bayes and Logistic Regression (Entropy Model) algorithms.
This work aimed to apply the Floating Film Transfer Method (FTM), developed by Kaneto et.al., as a new way of coating planar and nonplanar substrates with photoresist. Focus laid on the creation of a workflow to coat the substrate and process it by UV-Lithography and Nanoimprint lithography. Conventional coating methods like spin-, spray- or dip coating are well established in today’s industry but are limited in their capabilities to coat curved and structured surfaces. FTM offers the possibility to overcome these limitations. Therefore, two negative resists AR N 4400 and AR N 4600 10 as well as two positive resists AR P 3110 and AZ MIR 701 were drop cast on deionized water. The resist spreads into a thin film that can be transferred to a planar or curved substrate. Profilometric and ellipsometric measurements were conducted to evaluate the topography of the resist. A non-uniform thickness distribution was found depending on the resist and parameters like solid content, water temperature, and the amount of surfactant. UV-Lithography and Nanoimprintl ithography were successfully performed with these films. Resolutions as low as 2,3±0,4 µm were achieved by UV-Lithography of AR P 3110. A periodic pattern with a pitch of 1,51 µm was transferred by thermal nanoimprint lithography to AR N 4400 10. As proof of concept Laser Direct Writing was performed to structure AZ MIR 701coated on a glass vial.
The sysWORXX CTR-700 is a versatile edge controller solution developed by SYSTEC electronic AG and sold since 2017. The embedded device is designed for industrial environments to control other machines and equipment connected to it
over Ethernet network, CAN bus or a set of digital and analog input/output pins.
As a central controller in such automated environments, security is an important aspect. Especially integrity of all devices as well as confidentiality of stored and processed data must be ensured. Furthermore, provable authenticity of hardware is crucial to secure the controller's environment and prevent counterfeit hardware.
The sysWORXX CTR-700 has a built-in cryptographic co-processor ATECC508A from Microchip Inc. This ac:HSM provides hardware support for algorithms based on elliptic curve cryptography as well as secured slots for cryptographic keys and other confidential secrets.
This thesis analyses requirements for secure hardware verification and license management supported by the ac:HSM to enhance the existing solutions by leveraging military-grade cryptography standard algorithms and processes. Over
the course of this document, security principles are presented, relevant cryptographic systems and algorithms are explained to build a strong foundation and understanding.
Furthermore, the ATECC508A is introduced with its capabilities and prerequisites for secure confidential operation.
The proposed solution is a form of a vendor acrlong:PKI system. Technical and organizational policies for the ac:PKI are covered. They are accompanied by a detailed process description for provisioning the sysWORXX CTR-700 and the integrated ac:HSM. The process is supported by a set of custom-built tools for managing licenses and devices.
The use of fossil resources must be phased out during the next decades in order to stay below a well below 2°C trajectory adopted with the Paris Agreement. The growing threat of climate changes arises large uncertainties concerning natural and social systems and induced changes on economic activities and human welfare in the 21st century. As recent climate negotiations failed to achieve significant progress to stop the climate change, GHG emissions fragmented the international communities. Total carbon dioxide (CO2) concentration is at the highest levels ever recorded. Since, it is very important to differentiate the total CO2 and its origin.
Evidently, CO2 has been identifed as the most important GHG because it contributes the largest share to the anthropogenic increase of radiative forcing and grows fastest. Anthropogenic sources of CO2 emissions are fossilfuel combustion (FFC), cement production, traditional biomass combustion and land use change, which contain chlorouorocarbons, hydrochlorouorocarbons and others. Where Biogenic CO2 emission sources are fermentation, biogas and other biological process. Compare to atropogenicsource with high purity.
The thesis provides an improved overview of R&D, pilot, demonstration and commercial projects that capture CO2 from biogas plants and other biogenic sources and subsequently put this carbon to further use. Best practices in terms of business models and GHG saving potentials are described. The CO2 emissions mitigation are related to the innovation, technologies, investment and moreover the strong policies from the Government
The Faculty of Languages at the University of Applied Sciences Zwickau has a knowledge
base on critical incidents. Critical incidents capture and structure insights from critical situations in international mobility [Fet15]. With the rapid development of data and information, the
research platform CIs to Go has a clear need for a central search infrastructure that will allow
users to find and discover more relevant critical incidenst (or intercultural experinces as named
in the research platform CIs to Go). The data and information about critical incidents are stored
in open-source relational database management system PostgreSQL.
Nowadays it is inconceivable to use traditional RDBMS tools to analyze the data as they
grow very fast. The amount of information has steadily increased for years. Big Data provides
a solution for analyzing large amounts of data. Many search engine providers offer the solution
for analyzing large volumes of data, and companies are looking for open source solutions that
can quickly and reliably search, analyze, and evaluate large volumes of data. Elasticsearch
is a Lucene based search engine. Elasticsearch uses the concept of indexing to speed up the
search. This search engine provides a variety of options for free text queries, fuzzy matching
and indexing data. First, search engines and NLP toolkits are reviewed. This thesis also defines
the functional requirements of these tools. Then, an evaluation is given by indicating the positive
and negative aspects of the tools.
This thesis presents a complete search engine to be deployed on the research platform CIs
to Go as a new visual tool that helps in the process of searching for and finding intercultural
experiences.
In this paper, we propose cache replacement strategies based on the machine learning methods. As part of this work, we analyse the data provided for caching, design, and train Random Forest Regression and Gradient Boosting Decision Trees to predict the popularity of web objects. Finally we compare the proposed strategies with policies traditionally used for cache replacement to evaluate their applicability.
This bachelor thesis is about the development and design of the suture-based HeartStitch MR device for functional restoration of the mitral valve when a mitral regurgitation is present. The mitral valve is one of the four existing heart valves and due to their load, the mitral valve is most commonly affected by valve defects. In case of a mitral regurgitation, the leaflets of the mitral valve are not closing tight enough, which causes a reflux of the oxygenated blood from the left ventricle into the left atrium. As consequence, the human body won't be sufficiently supplied with oxygen anymore, which results in a disproportionate cardiac output. Untreated, this can lead to respiratory dis-tress, cardiac arrhythmias and stroke or even to death. In this case, a heart surgery is essential to improve the patient
Unnoticed by many, a congenital cardiac anomaly is in existence, which can be found in over a quarter of the total population. It is associated with the occurrence of strokes, migraine with and without an aura and feelings of faintness.This refers to the atrial septal defect (ASD) or one of its forms, the patent foramen ovale (PFO). Eventhough this illness, depended on the manifestation, can remain without any symptoms, it should still be considered to treat the condition, to prevent possible complications in a higher age. In recent years, based on several studies, a closure of ASDs and PFOs has been established as the preferred approach and is therefore increasingly replacing the medicinal treatment. In the context of this Master
In the scope of this thesis a novel minimal invasive medical device was developed and manufactured. It is used to treat mitral regurgitation, which is one of the most common cardiovascular diseases. It prevents a perfect closure of the mitral leaflets and causes blood to flow back and cause different symptoms, from dyspnea to sometimes death. For this purpose, two versions of new treatment devices were developed that suture the Mitral valve leaflets together resulting in a better closure. Various state of the art Software and machines were used to design and manufacture the Prototypes. This thesis provides the basis of putting those devices onto the Market and to help physicians and patients with an easier treatment and faster recovery time.
The NobleStitchTM EL Cardiovascular Suturing System can be used in general surgical, interventional and endoscopic procedures, such as Patent foramen ovale (PFO) closure, transapical ventricular closure, carotid arterial closure, mitral annuloplasty or edge-to-edge mitral valve repair. The System is used through an access device or in an open setting. For applying suture to a wound site, one Device of the NobleStitchTM EL Cardiovascular Suturing System, called the NobleStitchTM EL (S)
The SuperStitch is a suture-based closure device for the use during minimally invasive surgical procedures. The aim is to close a vessel or wound site in an open setting. The project is dealing with the further development of an already proven product pf the HeartStitch company. In the process, adaptation and fining solutions based on new requirements are discussed. These aim to perform surgery in the area of the human heart. The new field of application is mostly meant to deal with the closure of PFO's, ASD II and occurring residual shunts.
Speech-controlled Home Shopping in Virtual Reality (Investigation and Prototypical Realization)
(2019)
In order to discover and to identify possible improvements in the interaction between humans
and computers, research in speech recognition in combination with virtual reality provides
an opportunity to learn about scientific fields such as human-computer interaction. For the aim
of reaching a new level of interactivity between users and systems, the research in virtual reality
contributes to several innovative ideas for researchers to discover inventive features. The idea
beyond prototyping speech controlled home shopping in virtual reality is to overcome some
technical limitations in virtual reality and to serve direct interaction between the user and the
virtual reality environment through speech commands.