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Thіs bachеlоr thеsіs was еxеcutеd fоr Іntеrpіpе cоmpany and іt cоncеntratеs оn іts busіnеss stratеgy оn іntеrnatіоnal markеts, еspеcіally оn Mіddlе Еastеrn pіpеs markеt. Chооsіng an іnapprоprіatе еntry busіnеss stratеgy can lеad tо sіgnіfіcant nеgatіvе cоnsеquеncеs, busіnеss stratеgy sеlеctіоn оn іntеrnatіоnal markеts іs оnе оf thе mоst crіtіcal dеcіsіоns іn іntеrnatіоnal tradе systеm. Thе thеоrеtіcal framеwоrk оf thе bachеlоr thеsіs іs prоvіdеd іn thе sеcоnd chaptеr, whіch was maіnly cоllеctеd by dеsktоp studyіng. Thе thеоry rеvіеw cоntaіns dеscrіptіоn оf varіоus fоrеіgn markеt stratеgіеs, mеthоds and mеchanіsms оf dеcіsіоn-makіng, lеvеls and typеs оf busіnеss еnvіrоnmеnt. A cоmbіnatіоn оf thеоrіеs іs adоptеd tо facіlіtatе thе prоcеss оf gathеrіng thе rеquеstеd іnfоrmatіоn. Thе thіrd chaptеr cоntaіns іnfоrmatіоn abоut Іntеrpіpе Cоmpany und іt´s еcоnоmіc actіvіty іn thе hоst cоuntry and abrоad. Gеnеral іnfоrmatіоn abоut Іntеrpіpе Cоmpany, іts currеnt pоsіtіоn, busіnеss dеvеlоpmеnt stratеgy fоr 2015-2016 yеars arе prеsеntеd. Thе sіtuatіоn оn thе pіpеs and whееls markеt іn Ukraіnе durіng thе pеrіоd 2014-2015 was analyzеd and оn accоunt оf thіs thе rеasоns оf dеclіnе іn prоfіts and salеs wеrе еducеd. Cоіncіdеntly thе pеnеtratіоn fоrms оf Іntеrpіpе Cоmpany tо fоrеіgn cоuntrіеs wеrе cоnsіdеrеd. Іn thіs rеgard thе mоst succеssful еntry fоrms arе suggеstеd tо bе accеptеd as thе maіn kеy stratеgy оf pеnеtratіоn tо thе іntеrnatіоnal markеt. Thе fоrth chaptеr prоvіdеs thе іnfоrmatіоn abоut thе cеrtaіn apprоach оf pеnеtratіоn оf Іntеrpіpе Cоmpany tо thе Mіddlе Еastеrn pіpе markеt. Thе purpоsе іs tо іncrеasе thе numbеr оf dеlіvеrіеs tо оіl and gas cоmpanіеs іn thіs rеgіоn and cоntіnuе еstablіshіng оf іts rеlatіоns wіth kеy agеnts and dіstrіbutоrs. Thе prоjеct aіms tо еlеvatе currеnt pоsіtіоn оf thе еntеrprіsе оn Mіddlе Еastеrn pіpеs markеt and adjust advantagеоus іntеrnatіоnal rеlatіоns fоr bоth cоuntеrparts. Data іs cоllеctеd frоm varіоus sоurcеs, іncludіng: bооks and jоurnals іn thе thеоrеtіcal framеwоrk, nеwspapеrs, cоmpany’s publіshеd rеpоrts, prеss rеlеasеs, catalоguеs, bullеtіns, brоchurеs, prеsеntatіоn, Іntеrnеt rеsоurcеs еtc. іn thе еmpіrіcal study.
This thesis aims to research the platform YouTube and whether “being a YouTuber” qualifies as a profession or not and what leads to this. The author combines existing scientific data and information provided by YouTubers doing this as a job and uses the compilation method. The author merges that material and uses it to create a bachelor thesis that covers both the theoretical and practical approach. The aim was to find out if there is a success recipe that can be followed that leads to views and clicks which are essential for the profession as a YouTuber. To do this, the author created two channels to see how the factors mentioned in this thesis are applied and if the approach leads to success. The findings of this thesis showed, that although the profession of a YouTuber can be classified as a job, it needs to be viewed differently from commonly known and in society accepted careers. Becoming a YouTuber and making money from this business, therefore, cannot be guaranteed.
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 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.
This work concentrates on the frequently used marketing instrument brand personality. Its effect on the consumer and how it drives consumer behaviour through TV advertis-ing are the focus. Scientific material, utilising research results of the last 20 years, has been analysed to investigate this subject. Furthermore, the example of Southern Comfort provides an insight of brand personality being applied to the real world of marketing business.
This paper explores the origins of Maori images in New Zealand film history. Discussing the history of Maori and their society brings us closer to a, once almost extinct, race and its struggle for self-representation and self-governance. By taking an in-depth look at New Zealands film history we get to understand how Maori were the subject of the earliest films and at what time they started making their own films. Combining those elements gives us the opportunity to understand how early images of Maori were created by Pakeha directors. By looking at different films throughout film history shows how Maori images evolved in time, especially when Maori started depicting themselves. This paper not only answers questions about Maori images in film but also tries to make people realise what odds Maori had to overcome in their daily struggle for selfdetermination.
The following is a description and outline of the work done at the Cornell Lab of Ornithology developing Nation Feathers VR, a virtual reality game for learning about bird calls and songs. The goal was to develop a game which is intuitive, educational and entertaining. Furthermore, the software needed to be structured in a way that allows for feasible future expansion. This required careful data saving and retrieval. The game gives the player an opportunity to learn and apply that knowledge, all while maintaining a shorter runtime in order to reduce the total time spent in the virtual world. This is meant to prevent any discomfort to the player that may result from extended use of the VR headset.
VQ-VAE is a successful generative model which can perform lossy compression. It combines deep learning with vector quantization to achieve a discrete compressed representation of the data. We explore using different vector quantization techniques with VQ-VAE, mainly neural gas and fuzzy c-means. Moreover, VQ-VAE consists of a non-differentiable discrete mapping which we will explore and propose changes to the original VQ-VAE loss to fit the alternative vector quantization techniques.
Protein structures are essential elements in every biological system evolved on earth, where they function as stabilizing elements, signaltransducers or replication machin eries. They are consisting of linear-bonded amino acids, which determine the three-dimensional structure of the protein, whereas the structure in turn determines the function. The native and biological active structure ofa protein can be understood as the folding state of a polypeptide chain at the global minimum of free energy.
By means of protein energy profiling, which is an approach derived from statistical physics it is possible to assign a so called energy profile to a protein structure. Such an energy profile describes the local energetic interaction features of every amino acid within the structure and introduces an energetic point of view, instead of a structural or sequential onto proteins.
This work aims to give a perspective to the question of how we may gain pattern information out of energy profiles. The concrete subjects are energy-mapped Pfam family alignments and investigations on finding motifs or patterns indiscretizised energy profile segments.
To enable smart devices of the internet of things to be connected to a blockchain, a blockchain client needs to run on this hardware. With the Trustless Incentivized Remote Node Network, in short Incubed, it will be possible to establish a decentralized and secure network of remote nodes, which enables trustworthy and fast access to a blockchain for a large number of low-performance IoT devices. Currently, Incubed supports the verification of Ethereum data. To serve a wider audience and more applications this paper proposes the verification of Bitcoin data as well, which can be achieved due to the modularity of Incubed. This paper describes the proof data that is necessary for a client to prove the correctness of a node’s response and the process to verify the response by using this proof data as well. A proof-object which contains the proof data will be part of every response in addition to the actual result. We design, implement and evaluate Bitcoin verification for Incubed. Creation of the proof data for supported methods (on the server-side) and the verification process using this proof data (on the client-side) has been demonstrated. This enables the verification of Bitcoin in Incubed.