Master thesis deals with solutions of BLDC motors (brushless DC motors) control. It analyses microcontrollers and electronic components suitable for BLDC motor controllers under conditions of serial production. It mentions some common problems in practical aplication like dynamic motor braking, synchronization, recuperation and constant revolutions.

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Studien syftar till att analysera mätningar av tidsfördröjningar i inbyggda system som använder externa Wi-Fi-moduler och Network Time Protocol (NTP) för tidssynkronisering. Mätning i detta sammanhang innebär att man tar mätbara data som kan representera tidsfördröjningarna i numerisk form, vilket gör det möjligt att analysera och jämföra dem på ett objektivt sätt. Genom en grundlig litteraturstudie identifierades de olika elementen involverade i tidssynkroniseringsprocessen, inklusive egenskaper hos Wi-Fi-moduler, NTP-protokollet och andra systemkomponenter. Insamlad data analyserades för att upptäcka mönster och tendenser i tidsfördröjning. Det övergripande målet med studien var att bidra med specifika insikter som kan förbättra konfigurationen och prestandan hos inbyggda system. Genom att jämföra prestanda hos olika dataenheter och visa på variationer i tidsfördröjning, har studien gett konkreta mätdata i form av tid, dess genomsnitt och standardavvikelse. Dessa insikter kan användas för att designa mer tillförlitliga inbyggda system med förbättrad tidssynkronisering, vilket är avgörande för mcu som kräver hög precision och stabilitet. / The study aims to analyze the measurements of time delays in embedded systems that use external Wi-Fi modules and the Network Time Protocol (NTP) for time synchronization. Measurement in this context means taking measurable data that can represent time delays in numerical form, making it possible to analyze and compare them objectively. Through a thorough literature review, the various elements involved in the time synchronization process were identified, including the characteristics of Wi-Fi modules, the NTP protocol, and other system components. Collected data were analyzed to detect patterns and trends in time delays. The overall goal of the study was to contribute specific insights that can improve the configuration and performance of embedded systems. By comparing the performance of different data units and showing variations in time delays, the study provided concrete guidelines and recommendations for engineers and developers. These insights can be used to design more reliable embedded systems with improved time synchronization, which is crucial for mcu requiring high precision and stability.

Indiana University-Purdue University Indianapolis (IUPUI) / Instrument assisted soft tissue mobilization (IASTM) is a form of massage using rigid manufactured or cast devices. The delivered force, which is a critical parameter in massage during IASTM, has not been measured or standardized for most clinical practices. In addition to the force, the angle of treatment and frequency play an important role during IASTM. As a result, there is a strong need to characterize the delivered force to a patient, angle of treatment, and stroke frequency. This thesis proposes two novel mechatronic designs for a specific instrument from Graston Technique(Model GT3), which is a frequently used tool to clinically deliver localize pressure to the soft tissue. The first design is based on compression load cells, where 4-load cells are used to measure the force components in three-dimensional space. The second design uses a 3D load cell, which can measure all three force components force simultaneously. Both designs are implemented with IMUduino microcontroller chips which can also measure tool orientation angles and provide computed stroke frequency. Both designs, which were created using Creo CAD platform, were also analyzed thorough strength and integrity using the finite element analysis package ANSYS. Once the static analysis was completed, a dynamic model was created for the first design to simulate IASTM practice using the GT-3 tool. The deformation and stress on skin were measured after applying force with the GT-3 tool. Additionally, the relationship between skin stress and the load cell measurements has been investigated. The second design of the mechatronic IASTM tool was validated for force measurements using an electronic plate scale that provided the baseline force values to compare with the applied force values measured by the tool. The load cell measurements and the scale readings were found to be in agreement within the expected degree of accuracy. The stroke frequency was computed using the force data and determining the peaks during force application. The orientation angles were obtained from the built-in sensors in the microchip.

This study addresses the challenges faced by industries requiring precise water quality monitoring by developing and evaluating a modular multi-sensor system. Existing solutions often lack scalability and flexibility, necessitating multiple devices for comprehensive analysis. The methodology employed a recursive prototype development approach, integrating various hardware and software components, including microcontrollers and a user-friendly mobile application. The prototype facilitated real-time data acquisition and management through a dedicated server, supporting essential water quality parameters such as pH, temperature, and conductivity. Results indicate that the system significantly enhances measurement accuracy and operational efficiency. However, the implementation of a smart home connectivity standard was unsuccessful, highlighting the complexities associated with integrating new communication protocols. Despite this, the system offers a scalable, cost-effective solution for continuous water quality monitoring, presenting significant improvements over existing technologies in terms of flexibility, user engagement, and data reliability. / Denna studie behandlar de utmaningar som industrier står inför som kräver noggrann övervakning av vattenkvalitet genom att utveckla och utvärdera ett modulärt multisensorsystem. Befintliga lösningar saknar ofta skalbarhet och flexibilitet, vilket kräver flera enheter för omfattande analys. Metodiken använde en rekursiv prototyputvecklingsansats, som integrerade olika hårdvaru- och mjukvarukomponenter, inklusive mikrokontroller och en användarvänlig mobilapplikation. Prototypen underlättade insamling och hantering av realtidsdata genom en dedikerad server, som stödde viktiga vattenkvalitetsparametrar såsom pH, temperatur och konduktivitet. Resultaten indikerar att systemet avsevärt förbättrar mätnoggrannhet och operationell effektivitet. Dock var implementeringen av smarta hem-anslutningsstandard inte framgångsrik, vilket belyser komplexiteten med att integrera nya kommunikationsprotokoll. Trots detta erbjuder systemet en skalbar, kostnadseffektiv lösning för kontinuerlig övervakning av vattenkvalitet, med betydande förbättringar jämfört med befintliga teknologier när det gäller flexibilitet, användarengagemang och datareliabilitet.

<p>Predmet istraživanja ove doktorske disertacije je mogućnost uspostavljanja modela Big Data sistema sa pripadajućom softversko &ndash;&nbsp; hardverskom arhitekturom za podr&scaron;ku senzorskim mrežama i IoT uređajima. Razvijeni model počiva na energetsko efikasnim, heterogenim, masovno paralelizovaim SoC hardverskim platformama, uz podr&scaron;ku softverske aplikativne arhitekture (poput OpenCL) za unifikovan rad.<br />Pored aktuelnih hardverskih, softverskih i mrežnih računarskih tehnologija i arhitektura namenjenih za rad podkomponenata modelovanog sistema u radu je predstavljen istorijski osvrt na njihov razvoj. Time je nagla&scaron;ena tendencija cikličnog kretanja koncepcijskih paradigmi računarstva, kroz svojevrstne ere centralizacije &ndash; decentralizacije computinga. U radu su predstavljene tehnologije i metode za ubrzavanje operacija&nbsp; u bazama i skladi&scaron;tima podataka. Istražene su mogućnosti za bolju pripremu Big Data informacionih sistema&nbsp; koji treba da zadovolje potrebe&nbsp; novo najavljene informatičke revolucije op&scaron;te primene računarstva tzv. Ubiquitous computing-a i Interneta stvari (IoT).</p> / <p>The research topic of this doctoral thesis is the possibility of establishing a model for Big Data System with corresponding software-hardware architecture to support sensor networks and IoT devices.&nbsp; The developed model is based on energy efficient, heterogeneous, massively parallelized SoC hardware platforms, with the support of software application architecture. (Such as an open CL) for unified operation.&nbsp; In addition to current hardware, software and network computing technologies, and architecture intended to operate subcomponents of the system modeled in this paper is presented as an historical overview of their development.&nbsp; Which emphasizes the tendency of the cyclic movement of the conceptual paradigm of computing, through the unique era of centralization/decentralization of computing. The thesis presents the technology and methods to accelerate operations in databases and data warehouses. We also investigate the possibilities for a better preparation of Big Data information systems to meet the needs of the newly announced IT revolution in the announced general application of computing called Ubiquitous computing and the Internet of Things (IoT).</p>