M. Tech. (Electrical & Electronic Engineering) / In this research we compare conventional data acquisition system (DAS) with the embedded data acquisition systems. The performance specifications of 4 different types of DAQ cards are drawn up with special emphasis made on the following parameters: Slew rate, settling time, relative accuracy and system noise. These parameters are taken from 2 conventional DAS and then compared to those taken from 2 embedded data acquisition systems under the same electrical conditions. The embedded DAQ system’s hardware was built using the PIC Microcontroller interfaced to the Digital to Analog Convertors (DAC). MPLAB C18 is used to create a program which communicates with the embedded DAQ system, to transmit generated signals. National Instrument's LabView is used to create a program which communicates with the conventional DAQ system, to acquire external generated signals and retransmit the signals. In most cases the performance of conventional and embedded are close, but one of the embedded DAS seem to be unstable at high frequencies.

The thesis deals with the possibilities and risks of multirotors in connection with acquiring, processing and distribution of information with regard to how these possibilities are limited and the risks addressed by legislation. The aim of the theoretical part of this thesis was to analyze how multirotors are involved in the information society, what are the possibilities of their use in connection with data collection and acquiring of information, what are the risks of using them and how problems are dealt with by Czech legislation. Categorized use possibilities state practical examples of what data can multirotors provide and how multirotors can be used to acquire information. The risks associated with using multirotors were found mainly in context of invasion of privacy and physical security. Based on the research of legislative sources, it was found that the legislation covers all the risks very well. The aim of the research part of this thesis was to find out how the users of multirotors abide the current legislation, which provisions they violate from the point of view of aviation regulations and to what extent they invade the privacy of third parties when using multirotors. Based on quantitative research, where the research method used was an electronic questionnaire, it was found that even though that about half of the users do not fly in accordance with aviation regulation L2 - aviation rules, 78% of them violates only one provision. In addition, it can be stated that there is a dependence between the presence of navigation systems on a multirotor and violation of this aviation regulation. It was also found that 89% of users do not intrude the privacy of third parties by using multirotors and that the violation of the amendment X and intruding of privacy are independent.

The purpose of this dissertation is to examine the external factors that influence an organizations' business intelligence (BI) data collection strategy when mediated by BI attributes. In this dissertation, data warehousing strategies are used as the basis on which to frame the exploration of BI data collection strategies. The attributes include BI insightfulness, BI consistency, and the organizational transformation attribute of BI. The research population consisted of IT professionals and top level managers involved in developing and managing BI. Data was collected from a range of industries and organizations within the United States. An online survey was used to collect the data to empirically test the proposed relationships. Data was analyzed using partial least square path modeling (PLS). The results of this study suggest that there exists a positive relationship between institutional isomorphism and BI consistency. The results also indicate that there exists a positive relationship between BI consistency and BI comprehensive data collection strategy, and the organizational transformation attribute of BI and BI comprehensive data collection strategy. These findings provide a theoretical lens to better understand the motivators and the success factors related to collecting the huge amounts of data required for BI. This study also provides managers with a mental model on which to base decisions about the data required to accomplish their goals for BI.

O crescimento das doenças crônicas não-transmissíveis está relacionado ao envelhecimento da população, à rápida urbanização não planejada, e à globalização de estilos de vida insalubres, entre outros. Nessa direção, as doenças crônicas nãotransmissíveis têm sido reconhecidas como um problema de saúde pública nacional e internacional e está elencada como prioridade na agenda nacional de pesquisa em saúde no Brasil, com destaque para o cuidado em diabetes mellitus. A Enfermagem em consonância com as políticas públicas da Organização Mundial e Ministério da Saúde desenvolve atividades de atenção em saúde às populações com condições crônicas visando o gerenciamento das doenças nos diferentes níveis de atenção. Para o avanço do conhecimento com repercussões no ensino, pesquisa e assistência, um objetivo estratégico é a expansão de estudos que visem à melhoria da relação custoefetividade de forma sustentável aos cuidados e gerenciamento em condições crônicas. No entanto, constata-se que ainda há lacunas na produção e utilização do conhecimento voltado para a primeira etapa do processo de Enfermagem que é a coleta de dados. Desse modo, é preciso ampliar evidencias acerca de instrumentos que subsidiem as informações do paciente com diabetes, mas em duas óticas diferenciadas, uma sob o olhar da perspectiva multiprofissional, e a outra da perspectiva do paciente na avaliação do seu cuidado, como elemento essencial para o desenvolvimento no setor saúde. Na expectativa de fornecer evidências científicas que possam instrumentalizar profissionais e pacientes no gerenciamento das condições crônicas, esta dissertação apresenta a validação de dois instrumentos de coleta de dados do paciente com diabetes. O primeiro, realizou uma validação do Roteiro para Atendimento Multiprofissional à pessoa com Diabetes Mellitus e /ou Hipertensão Arterial segundo a análise semântica e de conteúdo. E o segundo a validação de correspondência e fatorial do instrumento Patient Assessment Chronic Illness Care (PACIC). Desta forma, torna-se disponível dois instrumentos, um o Roteiro para Atendimento Multiprofissional à pessoa com Diabetes Mellitus e /ou Hipertensão Arterial e o outro a versão brasileira do PACIC, ambos, válidos e reprodutíveis, o que pode contribuir para a assistência de pessoas com condições crônicas / The growth of nontransmissible chronic diseases is related to the population aging, fast and unplanned urbanization, globalization, and unhealthy lifestyles, among others. In this sense, nontransmissible chronic diseases have been recognized as a national and international public health problem, being classified as a priority in the Brazilian national health research agenda, in which diabetes mellitus care stands out. In consonance with public policies of the World Health Organization and the Brazilian Ministry of Health, the nursing field develops healthcare activities to the population with chronic conditions, aiming at the management of diseases at different healthcare levels. In order to broaden knowledge and impact teaching, research and care, a strategic objective is increasing studies aimed at improving the cost-effectiveness relationship of care and the management of chronic conditions in a sustainable manner. However, there are still gaps in the production and use of knowledge aimed at the first step of the nursing process, that is, data collection. Hence, it is necessary to broaden evidence on the instruments that support the information of patients with diabetes, from two different angles - one under the multiprofessional perspective, and the other from the perspective of patients in the assessment of their care, as an essential element for the development of the health sector. With the intention to provide scientific evidence that can support professionals and patients in the management of chronic diseases, this dissertation presents the validation of two data collections instruments for patients with diabetes. The first was the validation of a Multiprofessional Care Script for People with Diabetes Mellitus and/or Arterial Hypertension, according to a semantic and content analysis. And the second was the correspondence and factor validation of the instrument Patient Assessment Chronic Illness Care (PACIC). Therefore, two instruments were made available, the Multiprofessional Care Script for People with Diabetes Mellitus and/or Arterial Hypertension and the Brazilian version of the PACIC. Both instruments are valid and reproducible, and can contribute to the care of people with chronic conditions

Företag måste hela tiden förbättras vilket ofta görs med ett systematiskt förbättringsarbete. Dessa bygger ofta på data vilket i företag med mycket manuella processer och låg användning av digitala system inte finns. Därför undersöker denna studie hur relevant data ska samlas in av sådana företag. Detta görs i form av en fallstudie på Elitfönster som är en ledande fönstertillverkare, som har en hög grad av omarbete vilket de har en ambition att reducera. Studien resulterar i en instruktion för hur en datainsamling ska genomföras för att generera relevant data till ett förbättringsarbete. Den undersöker även hur grundorsaker till slöserier hittas med hjälp av två olika metoder. Slutsatsen som författarna drog av arbetet blev att planeringen är viktig för att få en fungerande datainsamling som genererar ett bra resultat samt att fallföretaget bör utse ansvariga för de gemensamma resurser som skapar problem i produktionen. / Companies have to continuously improve which is often done through a systematic approach to improvements. This is often based on data which does not excist in companies with a high amount of manual labor and a low use of digital systems. Therefore this report studies how companies as the one previously mentioned should collect data. This is done as a case study at Elitfönster which is a leading window maker, who has a high degree of rework in their process which they aim to reduce. The result of the study is an instruction of how a data collection should be performed to generate relevant data to be able to improve. The study also investigates how root causes to waste are found through two different methods. The conclusion of this study is that the planning of a data collection is important to be able to get a good result. The company should also nominate a department that is responsible for the joint resources which causes problems in the production.

Although the primary role of the computer has been in processing and analysis of survey data, it has increasingly been used in data collection. Computer surveys are not exempt from a common problem: some refuse to participate. Many researchers and practitioners indicate the refusal problem is less for computer surveys, perhaps due to the novelty of the method. What has not been investigated is the refusal problem when on-line surveys are no longer novel. This research study examines the use of one form of computer-assisted data collection, the electronic or on-line survey, as an organizational research tool. The study utilized historical response data and administered an on-line survey to individuals known to be cooperative or uncooperative in other on-line surveys. It investigated nonresponse bias and response effects of typical responders, periodic participants, and typical refusers within a sample of corporate employees in a computer-interactive interviewing environment utilizing on-line surveys. The items measured included: participation, respondent characteristics, response speed, interview length, perceived versus actual interview length, quantity of data, item nonresponse, item response bias, consistency of response, extremity of response, and early and late response. It also evaluated factors reported as important when deciding to participate, preferred data collection method, and preferred time of display. Past participation, attitudes toward on-line organizational surveys, response burden, and response error were assessed. The overall completion rate of 55.7% was achieved in this study. All effort was made to encourage cooperation of all groups, including an invitation to participate, token, on-line pre-notification, 800 number support, two on-line reminders, support of temporary exit, and a paper follow-up survey. A significant difference in the participation of the three groups was found. Only three demographic variables were found to be significant. No significant differences were found in speed of response, interview length, quantity, item nonresponse, item response bias, consistency, and extremity. Significant differences were found in the perceived and actual times to complete the survey.

The current state of the industry’s methods of collecting background data reflecting diagnostic and usage information are often opaque and require users to place a lot of trust in the entity receiving the data. For vendors, having a centralized database of potentially sensitive data is a privacy protection headache and a potential liability should a breach of that database occur. Unfortunately, high profile privacy failures are not uncommon, so many individuals and companies are understandably skeptical and choose not to contribute any information. It is a shame, since the data could be used for improving reliability, or getting stronger security, or for valuable academic research into real-world usage patterns. We propose, implement and evaluate a framework for non-realtime anonymous data collection, aggregation for analysis, and feedback. Departing from the usual “trusted core” approach, we aim to maintain reporters’ anonymity even if the centralized part of the system is compromised. We design a peer-to-peer mix network and its protocol that are tuned to the properties of background diagnostic traffic. Our system delivers data to a centralized repository while maintaining (i) source anonymity, (ii) privacy in transit, and (iii) the ability to provide analysis feedback back to the source. By removing the core’s ability to identify the source of data and to track users over time, we drastically reduce its attractiveness as a potential attack target and allow vendors to make concrete and verifiable privacy and anonymity claims.

The ability to transfer data reliably and with low delay over an unreliable service is intrinsic to a number of emerging technologies, including digital video broadcasting, over-the-air software updates, public/private cloud storage, and, recently, wireless vehicular networks. In particular, modern vehicles incorporate tens of sensors to provide vital sensor information to electronic control units (ECUs). In the current architecture, vehicle sensors are connected to ECUs via physical wires, which increase the cost, weight and maintenance effort of the car, especially as the number of electronic components keeps increasing. To mitigate the issues with physical wires, wireless sensor networks (WSN) have been contemplated for replacing the current wires with wireless links, making modern cars cheaper, lighter, and more efficient. However, the ability to reliably communicate with the ECUs is complicated by the dynamic channel properties that the car experiences as it travels through areas with different radio interference patterns, such as urban versus highway driving, or even different road quality, which may physically perturb the wireless sensors. This thesis develops a suite of reliable and efficient communication schemes built upon feedback-based rateless codes, and with a target application of vehicular networks. In particular, we first investigate the feasibility of multi-hop networking for intra-car WSN, and illustrate the potential gains of using the Collection Tree Protocol (CTP), the current state of the art in multi-hop data aggregation. Our results demonstrate, for example, that the packet delivery rate of a node using a single-hop topology protocol can be below 80% in practical scenarios, whereas CTP improves reliability performance beyond 95% across all nodes while simultaneously reducing radio energy consumption. Next, in order to migrate from a wired intra-car network to a wireless system, we consider an intermediate step to deploy a hybrid communication structure, wherein wired and wireless networks coexist. Towards this goal, we design a hybrid link scheduling algorithm that guarantees reliability and robustness under harsh vehicular environments. We further enhance the hybrid link scheduler with the rateless codes such that information leakage to an eavesdropper is almost zero for finite block lengths. In addition to reliability, one key requirement for coded communication schemes is to achieve a fast decoding rate. This feature is vital in a wide spectrum of communication systems, including multimedia and streaming applications (possibly inside vehicles) with real-time playback requirements, and delay-sensitive services, where the receiver needs to recover some data symbols before the recovery of entire frame. To address this issue, we develop feedback-based rateless codes with dynamically-adjusted nonuniform symbol selection distributions. Our simulation results, backed by analysis, show that feedback information paired with a nonuniform distribution significantly improves the decoding rate compared with the state of the art algorithms. We further demonstrate that amount of feedback sent can be tuned to the specific transmission properties of a given feedback channel.

The aim of this thesis is to design universal sensoric platform for data collection in manufacturing environment. Device is capable of collecting data from variety of sensors, but it is also able to control external systems. Platform is controled by Lua scripts. The scripts are generated in user friendly visual programming environment Blockly. Platform is based on WiFi module ESP-WROOM-02.

The diploma thesis deals with the development of a software library for aggregating data from electricity meters and sending data to a central station. The most used protocols in smart grids are described. The work deals in more detail with the most important parts of the DLMS/COSEM standard. The DLMS protocol is described, which ensures communication between clients and servers. Next, the COSEM object model is described, which specifies object modeling, for access to measuring devices, and the OBIS system, which determines the identification of data objects. The Gurux library, which specializes in intelligent meter readings, is also described. The results of the work describe the implementation and testing of a software library for aggregation of data from servers using the DLMS/COSEM protocol using the GURUX library. At the end of the work is described a series of tests that were performed using this software library.