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Institute
In the following bachelor thesis the current trends and potential applications of digitalization in the service industry will be discussed. With the nowadays surging demand on digitalization in all industries, there are branches of the service industry where digitalization is yet to be exploited to its full potential. However, it is difficult to pick and choose which branches of the industry should be fully digitized and which should be partially digitized. The result of this work should therefore facilitate the process of applying digitization in the consulting services where face to face human interaction has been the key to the industry for years. For this purpose, essential factors to be taken into account were identified, which are to be sought after through the analysis, in the specification of the system requirements as well as in the performance of a utility value analysis.
In dieser Arbeit wurden neuartige Proteasen aus psychrotoleranten Bakterienstämmen isoliert und auf ihre biochemischen Eigenschaften charakterisiert. Des Weiteren konnten S8 Familie Proteasen Gene amplifiziert werden und Unterschiede in der Aminosäuresequenz konnten in Zusammenhang mit den biochemischen Eigenschaften der Proteasen in Verbindung gebracht werden.
This Master Thesis covers two main Topics: Sharing Economy and Risk Management and combines them in frames of this paper in order to provide a methodology (Uber was chosen as an example) of how a risk management process may be applied to a Sharing Economy business, as well as which types of risks are of special relevance for those types of businesses.
A relatively new research field of neurosciences, called Connectomics, aims to achieve a full understanding and mapping of neural circuits and fine neuronal structures of the nervous system in a variety of organisms. This detailed information will provide insight in how our brain is influenced by different genetic and psychiatric diseases, how memory traces are stored and ageing influences our brain structure. It is beyond question that new methods for data acquisition will produce large amounts of neuronal image data. This data will exceed the zetabyte range and is impossible to annotate manually for visualization and analysis. Nowadays, machine learning algorithms and specially deep convolutional neuronal networks are heavily used in medical imaging and computer vision, which brings the opportunity of designing fully automated pipelines for image analysis. This work presents a new automated workflow based on three major parts including image processing using consecutive deep convolutional networks, a pixel-grouping step called connected components and 3D visualization via neuroglancer to achieve a dense three dimensional reconstruction of neurons from EM image data.
This master thesis covers the topics of Customer relationships formation in the IT-outsourcing market on the example of “ABC” company. Most works related to the topic IT outsourcing cover the problems of implementation of IT services and the process of providing them to the customers and mostly all the issues are covered from the perspec-tive of consumers. Thus, problems and results of outsourcing providers of IT services remain almost uncovered. This master thesis is to reveal the specific features of IT out-sourcing business in Belarus and to develop an approach to the formation and construc-tion of a system of relationships between the company and its clients as a source of competitiveness increase.
Prototype-based classification methods like Generalized Matrix Learning Vector Quantization (GMLVQ) are simple and easy to implement. An appropriate choice of the activation function plays an important role in the performance of (deep) multilayer perceptrons (MLP) that rely on a non-linearity for classification and regression learning. In this thesis, successful candidates of non-linear activation functions are investigated which are known for MLPs for application in GMLVQ to realize a non-linear mapping. The influence of the non-linear activation functions on the performance of the model with respect to accuracy, convergence rate are analyzed and experimental results are documented.
The bachelor thesis is assigned to introduce the theoretical concept of Human Recourses Management, to analyze the work of human resources department of the LLC Tavria-V and to offer actions with recommendation to improve the productivity of the personnel. To start the implementation of actions for personnel management improvement, first of all, an overview of theoretical and methodological aspects of the HRM are presented and theories which earlier had an impact on our present running of the "workers" are described. Secondly, the concept of organizational work of the enterprise, main indexes and types of activities are figured out and in the form of tables and diagrams analyzed. The main object of the thesis - the process of personnel management with qualitative characteristics is described and presented. Using also the survey of employee all advantages and disadvantages of the present system of HRM are defined. Then in the last part, taking to account all data about current situation, recommended actions and effect for LLC Tavria-V on the basis of the personnel management analysis are presented in the work.
Cryptorchidism describes a disease, in which one or both testes do not descend into the scrotum properly. With a prevalence of up to 10%, cryptorchidism is one of the most common birth defects of the male genital tract. Despite its associated health risks and accompanying economic damage, resulting from surgery and losses in breeding, studies on canine cryptorchidism and its causes are relatively rare. In this study a relational database for genetic causes of cryptorchidism was established and used as a basis for the identification of candidate genes. Associated regions were analysed by nanopore sequencing with the goal to identify genetic variants correlated with cryptorchidism in German Sheep Poodle.
In this thesis, the changes in economy and society and the resulting effects on the labor market are being outlined. Current studies show that the shrinking labor market and the increasing digitalization result in a lack of skilled tech talent and a transition from an employer market to a clear employee market. Derived from the findings of the scientific research on this topic and conducted expert interviews, practical recommendations for recruitment actions within the scope of employer branding will be defined in order to help corporations to gain the needed tech skill set and drive innovation.
The epithelial membrane proteins (EMP1-3), which belong to the family of peripheral myelin proteins 22-kDa (PMP22), are involved in epithelial differentiation. EMP2 was found to be a downstream target gene of the tumor suppressor gene HOPX, a homeobox-containing gene. Additionally, a dysregulation of EMP2 has been observed in various cancers, but the function of EMP2 in human lung cancer has not yet been clarified.
In this study, a real-time RT-PCR, Western blot and cytoblock analysis were performed to analyze the expression of EMP2. Gain-of-function was achieved by stable transfection with an EMP2 expression vector and loss-of-function by siRNA knockdown. Stable transfection led to overexpression of EMP2 at both mRNA and protein levels in the transfected cell lines H1299 and H2170.
Functional assays including proliferation, colony formation, migration and invasion assays as well as cell cycle analyzes were performed after stable transfection and it was found that the ectopic EMP2 expression resulted in a reduced cell proliferation, migration and invasion as well as a G1 cell cycle arrest. After the EMP2 gene was silenced by the siRNA knockdown, inhibition of the cell invasive property was observed. These phenomena were accompanied by reduced AKT, mTor and p38 activities.
Taken together, the data suggest that the epithelial membrane protein 2 (EMP2) is a tumor suppressor and exerts its tumor suppressive function by inhibiting AKT and MAPK signaling pathways in human lung cancer cells.
The aim of this bachelor thesis was to establish extracytoplasmic function (ECF) σ factors as synthetic genetic regulators for biotechnological and synthetic biology applications in the new emerging model organism Vibrio natriegens. Therefore, synthetic genetic circuits were engineered on plasmids as test set-up for the investigated ECFs and their target promoters. The resulting plasmid library consisted of the reporter plasmids with the target promoter, fused to a lux cassette, a set of high-copy ECF plasmids and a backup set of lower-copy ECF plasmids. First, the high-copy plasmids were transformed in V. natriegens to test them for their functionality upon different inducer levels, which yielded good inducibility for few, but showed too high ECF-expression in most strains. For this reason, the set of lower copy plasmids was used for combinatorial co-transformation, to investigate the ECFs for their cross-talk to unspecific ECF target promoters. The switching to the lower-copy plasmid-set seemed to be partly helpful, while still much room for fine-tuning of the circuits remains. The knowledge gained can be used to achieve higher success rates when engineering synthetic circuits for various applications in V. natriegens, by using the ECFs here recommended as suitable synthetic genetic regulators.
Workload Optimization Techniques for Password
Guessing Algorithms on Distributed Computing Platforms
(2019)
The following thesis covers several ways to optimize distributed computing platforms for cryptanalytic purposes. After an introduction on password storage, password guessing attacks and distributed computing in general, a set of inital benchmark results for a variety of different devices will be analyzed. The shown results are mainly based on utilization of the open source password recovery tool Hashcat. The second part of this work shows an algorithmic implementation for information retrieval and workload generation. This thesis can be used for the conception of a distributed computing system, inventory analysis of available hardware devices, runtime and cost estimations for specific jobs and finally strategic workload distribution.
In today’s market, the process of dealing with textual data for internal and external processes has become increasingly important and more complex for certain companies. In this context,the thesis aims to support the process of analysis of similarities among textual documents by analyzing relationships among them. The proposed analysis process includes discovering similarities among these financial documents as well as possible patterns. The proposal is based on the exploitation and extension of already existing approaches as well as on their combination with well-known clustering analysis techniques. Moreover, a software tool has been implemented for the evaluation of the proposed approach, and experimented on the EDGAR filings, on the basis of qualitative criteria.
In the present bachelor thesis, nanopore sequencing and Illumina sequencing was compared using pollen DNA collected from honeybees and bumble bees. Therefore, nanopore sequencing was performed with the MinION sequencers and the generated reads were analysed with bash programming. A quantitative and qualitative (based on ITS2 sequences) BLAST run was performed. The results confirme the error probability of nanopore sequencing that is described in the literature. Nevertheless, with both sequencing methods similar sample preferences of the bees could have been observed, allowing ecological conclusions.
Digital innovation in the quality management system from supply chain to final product conformityy
(2019)
As the new revolution is happening in the industry 4.0 as digitalization and the new trend in innovation is taken place. So, we want to digitalize the process from the supply chain to the final product conformity of the aircraft.
So every document which is received from the supplier like (eg.CoC, Inspection report, concession) digitally. When the part is received at the warehouse of the OEM the warehouse personal has a system to say that part A serial no X is the perfect fit for the part no By with the help of QR code and book the part into the ERP.
The biggest challenge we have is to reduce in production inspection method to be done by a human. We want to bring one more upper step that is automation with edition with IOT in the process to give better data processing to the Automation process plus reduce the overall inspection time and what is needed in create a proper visual automation control system and also with help of gauge Rand R make the process more accurate and also certify the traceability of the process . At finally there was so much data and we need data security for that to create a proper data source and data storage for supplier data as well as internal data security.
In the practice of software engineering, project managers often face the problem of software project management.
It is related to resource constrained project scheduling
problem. In software project scheduling, main resources are considered to be the employees with some skill set and required amount of salary. The main purpose of software
project scheduling is to assign tasks of a project to the available employees such that the total cost and duration of the project are minimized, while keeping in check that
the constraints of software project scheduling are fulfilled. Software project scheduling (SPSP) has complex combined optimization issues and its search space increases exponentially when number of tasks and employees are increased, this makes software project scheduling problem (SPSP) a NP-Hard problem. The goal of software project scheduling problem is to minimize total cost and duration of project which makes it multi-objective problem. Many algorithms are proposed up till now that claim to give near optimal results for NP-Hard problems, but only few are there that gives feasible set of solutions for software project scheduling problem, but still we want to get more efficient algorithm to get feasible and efficient results.
Nowadays, most of the problems are being solved by using nature inspired algorithms because these algorithms provide the behavior of exploration and exploitation. For solving
software project scheduling (SPSP) some of these nature inspired algorithms have been used e.g. genetic algorithms, Ant Colony Optimization algorithm (ACO), Firefly etc.
Nature inspired algorithms like particle swarm optimization, genetic algorithms and Ant Colony Optimization algorithm provides more promising result than naive and greedy algorithms. However there is always a quest and room for more improvement. The main purpose of this research is to use bat algorithm to get efficient results and solutions for software project scheduling problem. In this work modified bat algorithm is implemented where a different approach of random walk is used. The contributions of this thesis are to: (1) To adapt and apply modified multi-objective bat algorithm for solving software project scheduling (SPSP) efficiently, (2) to adapt and apply other nature inspired algorithms like genetic algorithms for solving software project scheduling (SPSP) and (3) to compare and analyze the results obtained by applied nature inspired algorithms and provide the conclusion.
Neural networks have become one of the most powerful algorithms when it comes to learning from big data sets and it is used extensively for classification. But the deeper the network models, the lesser is the interpretability of such models. Although many methods exist to explain
the output of such networks, the lack of interpretability makes them black boxes. On the other hand, prototype-based machine learning algorithms are known to be interpretable and robust.
Therefore, the aim of this thesis is to find a way to interpret the functioning of the neural networks by introducing a prototype layer to the neural network architecture. This prototype layer will train alongside the neural network and help us interpret the model. We present architectures of neural networks consisting of autoencoders and prototypes that perform activity recognition from heart rates extracted from ECG signals. These prototypes represent the different activity groups that the heart rates belong to and thereby aid in interpretability.
The theoretical foundations of enterprise management using information technology were reviewed; analysis of the effectiveness of the use of information systems in the enterprise; ways of improving the enterprise management mechanism using information systems (on example of Mars Wrigley Confectionery Belarus) have been developed.
FUSO is one of the Japanese leading manufacturing of trucks and buses in the world and also it is an integral part of Daimler AG. Being a large manufacturer in trucks and buses, Fuso faces some marketing issues due to corrosion issues. Corrosion is one of the major issue to breakdown or damage the performance of the vehicles. To encounter this issue, FUSO initiated new project and called as “Anti-Corrosion Project”. The main mission of this project is to improve the corrosion resistivity or performance of the metal parts. Currently FUSO has almost 70 percent of parts which lies under Grade-III i.e. lesser than the one year corrosion resistivity.
In this project, the corrosion issues are collected by different types of audits like from customer as well as from taking two years old vehicle in worst conditions. Listed corrosion issues further investigated for current specification and requested for new proposal from supplier. Then the proposed solution is internally estimate the cost and make negotiation with the supplier. Later it’s forwarded to meeting with top management for approval. In case of higher corrosion specification, parts are taken from production line and tested in material lab which is available in FUSO. At last, the approved proposal is requested to release the drawing change and further the new proposal will be implemented. Entire project it should be coordinate with all different departments and working with teams gives more deep knowledge about the cause of issues.
With this project, parallel focused on the shop floor developments in return parts management area. FUSO is also responsible for the after sale services. In other words, FUSO provides warranty for the parts which breakdown within three years. Breakdown parts are directly delivered by the customers through dealers for warranty claim, so these parts called Warranty Part Investigation (WPI) parts. Sometimes customer wants to know the cause of the breakdown even though warranty has expired, in this case company will investigate the cause but they don’t provide the warranty. These kind of parts known as Product Quality Report (PQR) parts.
Company has a different shop floor for return parts and these parts are directly received by the company. RPM has four processes i.e. inwarding, pre-analysis, investigation and dispatch or scrap.
Usually, company used to get 30-50 parts per day, recently they decided to receive all the breakdown parts. Hence, it results in increasing the delay of inwarding and other processes. To solve this, standard layout and process are constructed. And, one of the main reasons for inward delay is higher documentation which is basically not required. These are converted into automation or digitalize work. Improvements are done using the lean manufacturing project methodology which results in more inward of failure parts and less inventory.