Drug development in general and clinical trials in particular is expensive and time consuming processes. One mandatory procedure in clinical trials are data collection, about 15 years ago almost all data were collected with a paper based approach but with new digitalised technology for data collection the process were about to become more efficient in regard to time, cost and quality of data. However the adoption rate of these systems for data collection were much lower than anticipated and most previous research points toward poorly developed products as the main reason for the adoption failure. Nevertheless, these systems have become more user friendly and efficient and today almost all studies use Electronic Data Capture (EDC) as the primary method for data collection. This project aim to investigate if the reason for the slow diffusion was a result of poorly developed products or if there are external factors such as social or organisational aspects that caused this delay. Semi structured interviews were conducted with 15 informants who works with EDC systems daily and are professionals within this industry. The result indicates that the slow diffusion is partly caused by initially bad systems that in turn might have caused a resistance among the end users and partly caused by slow decision organisations such as multinational pharmaceutical companies. The advice given to the project owner who intends to acquire this market is to focus on electronic Patient Reported Outcome (ePRO), which is a tool used by individual patients for self-reporting of data in clinical trials. ePRO is an extension of the EDC systems and must be user friendly for the patients and easy to connect to other systems. The company should rather focus on small Contract Research Organisation (CRO) as main customers rather than Big Pharma. Big Pharma often conduct multinational studies and decisions regarding the protocol and how data is to be collected are centrally decided. Since the project owner is a newly started, small firm with limited experience of clinical trials my advice would be to target CROs that conduct smaller studies.

This thesis describes the power analysis of the electronic beehive monitoring system. The electronic beehive monitoring system was made to work either with a UB12120 12V 12Ah standard lead-acid battery or an Anker (TM) Astro E7 5V lithium-ion battery to analyze the power requirements. These batteries are recharged by Renogy 50Watt 12 Volt Monocrystalline Solar Panel. Power analysis is performed using both batteries to calculate system’s efficiency. The performed power analysis indicates that the Anker (TM) Astro E7 26800mAh 5V lithium-ion battery runs approximately 6 hours more than the lead acid battery. Moreover, the lithium-ion battery is compact, has a lighter weight, is more efficient, and has a longer cycle life. Using lithium-ion batteries will likely result in fewer hardware components and a smaller environmental footprint.

Gas Hydrates Markup Language (GHML) has been under development since 2003 by the CODATA Task Group “Data for Natural Gas Hydrates” as an international standard for data storage and transfer in the gas hydrates community. We describe the development of this evolving communication protocol and show examples of its implementation. In describing this protocol, we concentrate on the most recent updates that have enabled us to include ThermoML, the widely used IUPAC XML communication standard for thermodynamic data, into the GHML schema for the representation of all gas hydrate thermodynamic data. In addition, a new GHML element for the description of crystal structures is described. We then demonstrate a new tool - Guided Data Capture for Gas Hydrates - for the rapid capture of large amounts of data into GHML format. This tool is freely available and publicly licensed for use by any gas hydrate data producer or collector interested in using the GHML format. An effort will be made to achieve a consensus between scientific journals publishing thermophysical and structural data for gas hydrates to recommend their authors use this new software tool in order to generate GHML data files at the time of the submission of scientific articles. Finally, we will demonstrate how this format can be used to advantage when accessing data from a web-based resource by showing on-line access to GHML files for gas hydrates through a web service.

This thesis contains a proposal for digitization and data capture from invoices, including the process of scanning, and other specific processes associated with the digitization of documents.

This thesis is focused on document imaging and describes different approaches to the implementation of document imaging systems. In the first part there is the theoretical background of the document imaging that is supplemented by current statistics. In the first part there are also some remarks on the situation on the Czech market. The second part is based on examinations of different approaches to document imaging systems that were made by Czech companies. The main objective of this thesis is a practical example of selecting an appropriate solution of the document imaging. There are considered three types of approaches to the document imaging: complete outsourcing, in-house outsourcing or a solution of their own. To achieve this goal there is an adequate theoretical basis for the document imaging and an overview of hardware and software support for digitization in the first part of the thesis. TEI method by Forrester Research is used for comparison of the economic impact of the different approaches. The contribution of this thesis is primarily in the description of the state of document imaging in the Czech Republic and also examination of different solutions and approaches to the document imaging. There is also a completion of the theoretical part by a data from current surveys.

The use of mobile computing on the construction site has been a well-researched area since the early 1990's, however, there still remains a lack of computing on the construction site. Where computers are utilised on the site this tends to be by knowledge workers utilising a laptop or PC in the site office with electronic data collection being the exception rather than the norm. The problems associated with paper-based documentation on the construction site have long been recognised (Baldwin, et al, 1994; McCullough, 1993) yet there still seems to be reluctance to replace this with electronic alternatives. Many reasons exist for this such as; low profit margins, perceived high cost; perceived lack of available hardware and perceived inability of the workforce. However, the benefits that can be gained from the successful implementation of IT on the construction site and the ability to re-use construction site data to improve company performance, whilst difficult to cost, are clearly visible. This thesis represents the development and implementation of a data capture system for the management of the construction of rotary bored piles (SHERPA). Operated by the site workforce, SHERPA comprises a wireless network, site-based server and webbased data capture using tablet computers. This research intends to show that mobile computing technologies can be implemented on the construction site and substantial benefits can be gained for the company from the re-use and integration of the captured site data.

The object of the thesis is streaming data change capture. The purpose of the work is to analyze the methods for building a streaming data change capture system and implement the best method selected during the analysis. Research methods: theoretical analysis, testing, programming. The result of the work is the successful implementation and testing of a streaming data change capture system based on Kafka Connect in conjunction with the Debezium connector for MySQL and ClickHouse Kafka Connect Sink for ClickHouse, the solved problem of the latter's limitation on processing remote records from the data source, as well as obtaining the current state of data from the source. The scope of the obtained results is data engineering and artificial intelligence. The significance of the work lies in the possibility of its practical implementation at the place of work, as well as in the flexible approach to solving the problem under the conditions of tool limitations. / Цель работы – анализ методов построения потокового захвата изменений данных и реализация лучшего метода, выбранного в ходе анализа. Методы исследования: теоретический анализ, тестирование, программирование. Результатом работы является успешная реализация и тестирование системы потокового захвата изменений данных на базе Kafka Connect в связке с коннектором Debezium для MySQL и ClickHouse Kafka Connect Sink для ClickHouse, решённая проблема ограничения последнего на обработку удалённых записей из источника данных, а также получение актуального состояния данных из источника. Область применения полученных результатов – инженерия данных и искусственного интеллекта. Значимость работы заключается в возможности её практической реализации по месту работы, а также в гибком подходе к решению поставленной задачи в условиях ограничений инструментария.

Despite the development of injury surveillance systems for use at large multi sportsevents (Junge 2008), their implementation is still methodologically and practicallychallenging. Edouard (2013) and Engebretsen (2013) have pointed out that thecontext of athletics championships feature unique constraints, such as a limiteddata-collection window and large amounts of data to be recorded and rapidlyvalidated. To manage these logistical issues, Electronic Data Capture (EDC) methodshave been proposed (Bjorneboe 2009, Alonso 2012, Edouard 2013). EDC systemshave successfully been used for surveillance during multi-sport events Derman et al(2013) and its potential for surveillance studies during athletics championships istherefore interesting. The focus for surveillance during athletics championships hasthis far been on injury and illness data collected from team medical staff in directassociation to the competitions. But the most common injury and illness problems inathletics are overuse syndromes (Alonso 2009, Edouard 2012, Jacobsson 2013) andknowledge of risk factors associated to these problems is also relevant in associationto championships. A desirable next step to extend the surveillance routines istherefore to include also pre-participation risk factors. For surveillance of overusesyndromes, online systems for athlete self-report of data on pain and othersymptoms have been reported superior to reports from coaches (Shiff 2010). EDCsystems have also been applied for athlete self-report of exposure and injury data inathletics and other individual sports and have been found to be well accepted with agood efficiency (Jacobsson 2013, Clarsen 2013). There are thus reasons forinvestigating EDC system use by both athletes and team medical staff during athleticchampionships.This thesis used a cross-sectional design to collect qualitative data from athletes andteam medical staff using interviews and “think-aloud” usability evaluation methods(Ericsson 1993; Kuusela 2000). It was performed over 3 days during the 2013European Athletics Indoor Championships in Gothenburg, Sweden. Online EDCsystems for collection of data from athletes and team medical staff, respectively,were prepared for the study. The system for use by team medical staff was intendedto collect data on injuries and illnesses sustained during the championship and thesystem for athletes to collect data on risk factors.This study does not provide a solution in how an EDC effort should be implementedduring athletics championships. It does however points towards usability factorsthat needs to be taken into consideration if taking such an approach.

This diploma thesis is engaged in project management , Královopolská Brno. The company belongs to the biggest Czech crane and hoist device manufacturers. The subject of this diploma thesis is the analysis of projects. Detection of bottlenecks in the project management process and suggest improvment ideas.

El proyecto titulado Plataforma Tecnológica para el Mejoramiento de Planes de Entrenamiento en el Deporte del Atletismo, tiene como objetivo el brindar una plataforma tecnológica mediante el análisis de necesidades del deporte del atletismo, variando su complejidad dependiendo de la disciplina y los usuarios finales encontrados. La propuesta esta basada en los análisis de resultados de los entrenamientos previos al uso de la plataforma tecnológica como también el después, la literatura y la experiencia profesional de los entrenadores que prestaron su conocimiento al desarrollo del proyecto. Al empezar el proyecto, se realizó un levantamiento de información y de acuerdo con la literatura, se definieron los aspectos que se consideran esenciales en un deportista, la capacidad de medición, cálculos y tecnologías físicas y lógicas necesarios para esta toma de datos. En base a lo antes revelado, se evalúan los requisitos funcionales y no funcionales mínimos que se necesitan de las tecnologías para la captura de datos y tomando en cuenta las posibilidades de comunicación entre estas, su precisión en la toma de datos, la cantidad de parámetros que se reciben y la herramienta de administración y monitoreo sobre dichas tecnologías, se modelan los esquemas físicos y lógicos entre estas tecnologías esenciales de acuerdo con cada aspecto del atletismo y se obtiene una propuesta de la plataforma tecnológica. Por último, se concluye con un despliegue de la plataforma tecnológica. / The project entitled Technological Platform for the Improvement of Training Plans in Athletics Sports, aims to provide a technological platform by analyzing the needs of the athletics sport, varying its complexity depending on the discipline and the end users encountered. The proposal is based on the analysis of the results of the training prior to the use of the technological platform as well as the later, the literature and the professional experience of the trainers who lent their knowledge to the development of the project. At the beginning of the project, an information survey was carried out and according to the literature, the aspects that are considered essential in an athlete were defined, the measurement capacity, calculations and physical and logical technologies necessary for this data collection. Based on the above, the minimum functional and non-functional requirements that are needed from the technologies for data capture are evaluated and taking into account the communication possibilities between them, their precision in data collection, the number of parameters. that are received and the management and monitoring tool on these technologies, the physical and logical schemes between these essential technologies are modeled according to each aspect of athletics and a proposal of the technological platform is obtained. Finally, it concludes with a deployment of the technological platform. / Tesis