Refine
Year of publication
Document Type
- Bachelor Thesis (48) (remove)
Institute
- Wirtschaftswissenschaften (27)
- Physikalische Technik, Informatik (15)
- Sprachen (5)
- Angewandte Kunst (1)
Language
- English (48) (remove)
Is part of the Bibliography
- no (48) (remove)
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.
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.
Between Clash of Civilizations and Global Identity - the Interdependence of Culture and Economics
(2019)
Our life is becoming faster, more connected and more global - this developments have a lot of positive but also negative effects. Being fearful towards the "different" is a growing phenomenon and the question arises of we heading towards a global identity or a clash of civilizations, which factors play the important parts and how did they come into existence. By using North African immigration in France as an example, an approach is made to put this topic in a smaller context in order to see where the scenario is heading to and what is conducive and/or detrimental.
The purpose of this study is to bring China closer to the audience, especially from the marketing perspective. The automotive industry, textile industry, technological industry, food, and beverage industries and much more have developed themselves in the Chinese market. Subsequently, the writer chose one sector of the technology industry, which are smartphones. The focus of this thesis is already available smartphone brands in China. The perception of smartphone brands should help in determining how the producing country is looked at, if the image clouds the judgment and if consumers are loyal to brands. These insights allow us to draw conclusions and recommendations for the communication and design of smartphone brands.
This thesis will examine the process of internationalization which generates international changes and growth, entry into new markets and the creation of new businesses. Projecting this on the sports industry, businessmen tend to take more risks than a few decades ago in the interest of becoming more competitive. The sports industry is used to transmit multiple messages as it reaches global audiences. The term sports covers much more than the physical activity. The term also comprises possibilities for lucrative business actions, sponsoring and image creation. Furthermore, it induces a pooling of diverse cultures. Thanks to this boundary-spanning connection of sportsmen and arising opportunities to increase sales, managers have decided to go international and to expand their company
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.
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".
As corporate social responsibility (CSR) is becoming increasingly important in China, this bachelor thesis examines the current state, problems and challenges of corporate social responsibility in China. Based on the analysis of the CSR strategies of Apple and Huawei in China, the thesis reveals lessons and guidelines for companies that want to implement a CSR strategy and integrate CSR operations into their business in China.
This thesis is about the significance of the Chinese construction industry on the Chinese "One Belt, One Road" initiative. The most important question discussed in this thesis are: What is "One Belt, One Road"? How does the domestic construction industry in China benefits from the New Silk Road? And, the Chinese interests behind "One Belt, One Road"?
The goal of this paper is to determine all relevant factors that influence the economic outcome and development of a country including the culture people practice. In the beginning of the paper it will be given a thorough explanation of culture and its components. There have been different theories on how culture influences the economic power of a country which until today are considered controversial. Therefore, it will be taken a closer look at for instance the theory of Max Weber, who explained in his book
Regional power shift in Southeast Asia: Comparing economic influence of China and Japan in ASEAN
(2017)
This work deals with the Sino-Japanese power competition in Southeast Asia, which is here considered as the Association of Southeast Asian Nations (ASEAN). For this purpose, the academic discourse on regional powers in general, as well as in Southeast Asia is outlined, with special regard to the relation of economic and soft power. On the basis of trade and investment figures an analysis in comparative perspective is conducted, which examines the development of the Chinese and Japanese economic influence in ASEAN over the past decades.