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China is planning to rebuild the ancient Silk Road into a modern infrastructre network, spanning Asia, Central Asia and Europe. The investements are high and are not paying off. This thesis is exploring the political reasons for China's plans and the impact the initiative has on the Chinese-Kazakh relationship.
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
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 thesis analysis the car parks’ elements and the factors that influence the drivers’ behaviour on them. Then makes an approach to the definition of the strategy of how the car drivers search for free parking spaces. The reason for it is that there is a need to assess car parks’ design parameters in the terms of their performance. One of the decisive factors is also the drivers’ behaviour. A car park simulation based on the environment of matrices is designed and implemented in MATLAB. The algorithm for searching for the parking spaces is designed and implemented within that as well. The results of the simulation are presented.
Morality confronts us in our daily life. Sometimes people do not act the way we would have expected it. One of the biggest culture differences can be found between China and Germany. A lot of foreigners try to make business in the more and more economic important becoming country. A lot of them fail, because of not knowing how to act in certain circumstances. Furthermore, some situations are happening which one would not expected. Everyone got influenced by media about China. But is everything true about it? Most of the journalists are from western countries and they decide what is right and what wrong dependent from their origin. We call such a situation ethnocentrism. It means, that one judges dependent on ones ethnical norms one raised up with and that these norms are basis of valuation on other cultures (Schubert, 2011). While I was in China, I experienced a lot moral misunderstandings. I found out that especially foreign companies do have huge problems in that term because they use their - grown up morality- in China which is not working. This paper explains moral inequalities and helps companies to act differently in consideration of a very important topic such as payment morality.
This research investigates the Leipzigerstraße and Gießereistraße intersection in Rackwitz to enhance safety and sustainable transportation. The study analyzes existing designs that experience accidents and proposes a design plan of mini roundabout to improve safety while using the guideline Anlage von Kreisverkehren. In this project, the roundabout is planned according to the currently valid guidelines from phase 2 of the HOAI (Fee Structure for Architects and Engineers). Rainwater management strategies and traffic quality of the roundabout are considered. Additionally, cyclist-friendly paths connecting Rackwitz and Zschölkau are developed in line by using guideline ERA. The proposed roundabout design and elevated cycle paths are identified as effective solutions to enhance safety and support eco-friendly transportation. By adhering to established guidelines and prioritizing safety, this research contributes to creating a secure and sustainable urban transportation network.
Natural varnishes have been used for centuries by musical instrument makers to protect the instruments for climatic, aesthetic and acoustic reasons. The effects of varnishes on the protection of the wood surface, as well as their aesthetic parameters, are easier to verify and compare visually, but the comparison of their acoustic effects has always been challenging and debated.
In fact, varnish layers have a small effect on the vibration properties of wood. For example, the effect of a decrease or increase in humidity on the vibration properties of wood is sometimes equal to the effect of several layers of varnish. Because of this small amount of effect, measuring this effect is also difficult and challenging.
Our strategy in this study is to obtain the clearest possible results by comparing the effect of only two types of oil varnishes with completely opposite elastomechanical properties and increasing the number of samples varnished.
The samples were measured before and after each varnish layer using conventional methods for measuring vibration properties, and the average results of the same samples were discussed and analyzed.
Overall, the amber varnish obviously has a more negative effect on the vibration properties of the violin plates compared to the colophony varnish.
The leading question, which political system is better suited for an emerging economy with a large population to ensure an effective climate protection, builds the nucleus of this thesis. The People's Republic of China and the Republic of India, which share similar demographic conditions and represent an autocratic and a democratic form of government, are compared in terms of the formulation and implementation of climate protection strategies and measures to draw conclusions about the characteristics of the respective systems.
Ferroelectric doped hafnium oxide might be able to revive the ferroelectric memory as a candidate for future non-volatile memories. Recent publications have reported ferroelectricity in HfO2 films deposited via physical vapor deposition (PVD) and thermal atomic layer deposition (ALD). Within this thesis, such layers have been fabricated by a plasma enhanced ALD process for the first time. Using an O2 remote plasma to oxidize TEMAHf and TMAl, respectively, Al:HfO2 stacks with different compositions have been deposited. Sputter deposited TiN was used as bottom and top electrode to form metal-insulator-metal capacitors. Compared to the PVD or thermal ALD films reported in literature, the plasma enhanced ALD films exhibited one to two orders higher leakage current at 1 V. The root of this higher leakage are oxygen vacancies as well as carbon and nitrogen impurities in the range of several at%. Despite the consequential perturbing effects, the main trends reported earlier are discernable. Just these perturbing effects turn out to substantiate the current explanation of a ferroelectric phase as route source for the observed electrical behavior.
Despite lacking sufficient evidence, the shift to automated mobility has often been regarded as progress towards a safer road transport system. Following the introduction of the first production car that has been officially certified as Level 3 earlier in 2022, the driver can shift their role to only as a fallback when the automated driving system reaches its limit of the Operational Design Domain. In the event of an accident, though, the matter will only get even more complicated, especially in the process of unravelling the party that was performing the Dynamic Driving Task at the time of the collision. An accident investigation is done to provide insight into how it occurred and uncover the liable parties. This thesis reviews various methods reconstructing an accident scene, such as photogrammetry and laser scanning, as well as elaborating the relevant data that has already available in the vehicle and from the infrastructure. Recommendations are also presented on for the future data collection, specifically in the scenario of automated driving, to improve such practice.
China has become one of the largest economies world wide. While China itself used to receive huge amounts of FDI or aid from developed countries, it is now in the position to support less developed coutries. Cambodia is an example for such an LDC which is strongly supported through development aid and investments from China. This thesis analyses the unique advantages this country is offering to China. In addition, this thesis is trying to evaluate whether both participating countries equally benefit from this partnership.
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.
An omnipresent topic in the economic news of the current year 2018 were the
developments regarding the smoldering trade dispute between the USA and China.
Within short periods of time, a downright exchange of strikes between the
administrations of the two countries evolved, with the President of the USA, Donald
Trump, in particular, pithily announcing to China an increasingly serious threat of
sanctions. Although the Chinese side was noticeably striving to de-escalate the verbal
dispute, it also presented a series of sanctions which were described in the relevant
press as so-called retaliatory tariffs.
The reason behind this diplomatic duel, however, has substance. It is evident that the
USA and China share an exceptional status with regard to economic fundamentals.
The US has the largest international trade deficit of US$ 375.2 billion vis-à-vis China.
China, on the other hand, is by far the largest creditor of the USA on an international
scale and currently holds around US$ 1.2 trillion in government bonds. Accordingly,
China exerts a major economic influence over the USA. This objective situation
opposes the subjective self-reflection of the government under President Trump, which
hardly misses an opportunity to operate on an international level with the help of
supposed deals according to the credo "America first".
Es wird ein neuartiges, interferometrisches Verfahren zur Analyse dünner Filme beschrieben.
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.