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This work examines the impact Web 2.0 has on CRM in journalism. For this purpose the communication strategies of one international, one New Zealand and one exclusively online men’s magazine are compared. Through this comparison changes in the magazines’ approach to CRM are identified and expert interviews with editors give further insight into the dynamic of the evolution CRM and the journalism industry are going through. Finally, the conclusion illuminates the effects this evolution has on CRM in journalism.
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.
This work emphasises the synergy between anthropologi-cal research on human skeletal remains and suitable doc-umentation strategies. Highlighting the significance of data recording and the use of digital databases in various aspects of anthropological work on bones, including scien-tific standards, skeletal collections, analysis of research re-sults, ethical considerations, and curation, it provides a comprehensive examination of these topics to demonstrate the value of investing time and resources in this field, countering the existing lack of funding that has led to sig-nificant deficiencies. Additionally, the paper outlines the requirements and challenges associated with standard data protocoling and suggests that digital data manage-ment frameworks and technologies such as ontologies and semantic web technologies for anthropological information should be a central focus in developing solutions.
Decentralizing Smart Energy Markets - tamper-proof-documentation of flexibility market processes
(2020)
The evolving granularity and structural decentralization of the energy system leads to a need for new tools for the efficient operation of electricity grids. Local Flexibility Markets (or "Smart Markets") provide platform concepts for market based congestion management. In this context there is a distinct need for a secure, reliable and tamper-resistant market design which requires transparent and independent monitoring of platform operation. Within the following paper different concepts for blockchain-based documentation of relevant processes on the proposed market platform are described. On this basis potential technical realizations are discussed. Finally, the implementation of one setup using Merkle tree operations is presented by using open source libraries.
In the swiftly changing world of academic publishing, the Sea of Wisdom platform seizes the opportunity to innovate. By combining the technologies of blockchain, decentralized finance (DeFi), and Non-Fungible Tokens (NFTs) with traditional scholarly communication, we present a groundbreaking, decentralized solution. Our design, although adaptable, primarily uses Ethereum's Virtual Machine, tapping into its robust scientific community.
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.
In this master thesis, we define a new bivariate polynomial which we call the defensive alliance polynomial and denote it by da(G; x; y). It is a generalization of the alliance polynomial and the strong alliance polynomial. We show the relation between da(G; x; y) and the alliance, the strong alliance, the induced connected subgraph polynomials as well as the cut vertex sets polynomial. We investigate information encoded about G in da(G; x; y). We discuss the defensive alliance polynomial for the path graphs, the cycle graphs, the star graphs, the double star graphs, the complete graphs, the complete bipartite graphs, the regular graphs, the wheel graphs, the open wheel graphs, the friendship graphs, the triangular book graphs and the quadrilateral book graphs. Also, we prove that the above classes of graphs are characterized by its defensive alliance polynomial. We present the defensive alliance polynomial of the graph formed of attaching a vertex to a complete graph. We show two pairs of graphs which are not characterized by the alliance polynomial but characterized by the defensive alliance polynomial.
Also, we present three notes on results in the literature. The first one is improving a bound and the other two are counterexamples.
In this thesis two novel methods for removing undesired background illumination are de-veloped. These include a wavelet analysis based approach and an enhancement of a deep learning method. These methods have been compared with conventional methods, using real confocal microscopy images and synthetic generated microscopy images. These synthetic images were created utilizing a generator introduced in this thesis.
In recent years the term Cloud has become popular in the world of technology. It is used to describe many different Information Technology offerings, but people are adapting this word without truly understanding it. “Demystifying the Cloud – Drawing the Lines between Technologies and Concepts” by Kevin Arnot takes a look at many levels of the Cloud and gives a comprehensive overview of the technologies and ideas that make it a paradigm shift. The author analyzes the term methodically by leveraging appropriate information from the Internet as well as from experts. An important milestone in understanding the Cloud accurately is differentiating between its components. These include: underlying technologies, the three Cloud Service Models (SaaS, IaaS and PaaS) and how it is deployed, publically or privately. The result is to understand that a Cloud can be composed in different ways and therefore serves exactly the needs of its users. Furthermore, the author describes challenges that individuals and busi-nesses have to deal with equally and reviews possible solutions. Cloud technology will continue to evolve; however, the future business value of the term “Cloud” will depend on how companies continue using or misusing it.
In the field of satellites it is common practice to combine multiple ground stations into one network, to increase communication times with satellites. This work focuses on TIM, which is an international academic colaborative project. Important criteria for this project are elaborated and used to evaluate existing ground station networks. It concludes that there is no appropriate solution availiable for this specific use case and establish a proposed solution. The proposed ground station network software will be elaborated and evaluated.