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Design and development of a mobile application for configuring and using wildlife trackers : master's thesis
Vid Rajtmajer, 2021, master's thesis

Abstract: The number of Internet of Things devices has been increasing rapidly in the recent few years, which opens possibilities for many new use cases. One of those is tracking assets, specifically for the conservation of endangered animals. This is the main goal of the OpenCollar tracking device. Its features and communication technologies are described in this master’s thesis. The device supports a variety of configuration options enabling users to tweak it for their specific usage. The main focus of the thesis was to design, implement, and test a cross-platform mobile application that would simplify the configuration process of such a device. All aspects of the application are described with a focus on the communication protocol. In the end, we present the results and conclude that the implemented application greatly simplifies the management of OpenCollar devices.
Keywords: Internet of Things, mobile application, Bluetooth low energy, Long Range
Published in DKUM: 28.01.2022; Views: 292; Downloads: 32
.pdf Full text (3,08 MB)

Uporaba tehnologij javascript na področju interneta stvari
Sebastijan Štefanič, 2018, master's thesis

Abstract: V magistrskem delu je raziskan razvoj sistemov interneta stvari s pomočjo JavaScript tehnologij. Razloženi so koncepti ki jih je potrebno razumeti, ter ozadje in osnovni pojmi interneta stvari. Na začetku se osredotočamo na sam pomen in definicijo interneta stvari, njegovo zgodovino ter opisovanja z njim povezanih konceptov, ki jih moramo razumeti. Nato so raziskane nekatere od najbolj aktualnih JavaScript ogrodjih in knjižnic, ki se uporabljajo za razvoj interneta stvari na vseh plasteh njegove arhitekture.
Keywords: Internet of Things, JavaScript, Node.js
Published in DKUM: 21.11.2018; Views: 795; Downloads: 103
.pdf Full text (1,93 MB)

Development of smart energy meter using arm platform
Darijo Topić, 2017, master's thesis

Abstract: This master thesis describes the development of smart electricity energy meter on the ARM platform. In general, the commercial electrical energy meters are measuring only the total active energy, therefore, users cannot also monitor other important power consumption parameters. The goal of this thesis is to develop a prototype of smart ARM based energy meter, which is capable to measure several power consumption parameters and display them on a webpage in real-time. In the thesis the complete design of the ARM based smart energy meter is presented in detail. Further, the development of user interface for displaying measured data on the webpage in real-time is also presented. These results are presented both in textual and graphical form. Additionally, the theory of electric power consumption measurements and some commercial energy meters are presented.
Keywords: energy meter, ARM processor, power consumption, internet of things, calibration, green environment, energy consumption measurement, emoncms
Published in DKUM: 16.11.2017; Views: 1649; Downloads: 248
.pdf Full text (5,10 MB)

Intra-minute cloud passing forecasting based on a low cost iot sensor - a solution for smoothing the output power of PV power plants
Primož Sukič, Gorazd Štumberger, 2017, original scientific article

Abstract: Clouds moving at a high speed in front of the Sun can cause step changes in the output power of photovoltaic (PV) power plants, which can lead to voltage fluctuations and stability problems in the connected electricity networks. These effects can be reduced effectively by proper short-term cloud passing forecasting and suitable PV power plant output power control. This paper proposes a low-cost Internet of Things (IoT)-based solution for intra-minute cloud passing forecasting. The hardware consists of a Raspberry PI Model B 3 with a WiFi connection and an OmniVision OV5647 sensor with a mounted wide-angle lens, a circular polarizing (CPL) filter and a natural density (ND) filter. The completely new algorithm for cloud passing forecasting uses the green and blue colors in the photo to determine the position of the Sun, to recognize the clouds, and to predict their movement. The image processing is performed in several stages, considering selectively only a small part of the photo relevant to the movement of the clouds in the vicinity of the Sun in the next minute. The proposed algorithm is compact, fast and suitable for implementation on low cost processors with low computation power. The speed of the cloud parts closest to the Sun is used to predict when the clouds will cover the Sun. WiFi communication is used to transmit this data to the PV power plant control system in order to decrease the output power slowly and smoothly.
Keywords: photovoltaic power plant, cloud passing forecasting, algorithm, sensor, Raspberry Pi, camera, wide-angle lens, optical filters, internet of things
Published in DKUM: 20.07.2017; Views: 1826; Downloads: 376
.pdf Full text (8,15 MB)
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Goran Ramljak, 2014, master's thesis

Abstract: Glavni cilj magistrske naloge je raziskati področje uporabniške izkušnje na splošno in še posebej v maloprodajni industriji. Magistrsko delo temeljito raziskuje nove tehnologije in študije primerov njihove uporabe. Glede na široko področje raziskovanja, smo se osredotočili na sodobne brezžične tehnologije, kot je Bluetooth LE. V okviru raziskave, smo preučiti tudi mentalne modele kupcev, ki lahko pomembno vplivajo na uporabo novih tehnologij. Naša osnovna hipoteza je, da bo uporaba novih tehnologij izboljšajo uporabniško izkušnjo v trgovinah in da bodo uporabniki lahko učinkoviteje porabili svoj čas v trgovini. • H1: Vedenje uporabnikov v javnih prostorih (trgovinah) je odvisno od podatkov v fizičnih in elektronski okoljih, ki ga obkrožajo. Elektronska okolja postavljajo kontekst za interakcijo med ljudmi in računalniškimi storitvami. • H2: Atmosfera v trgovinah vpliva na način dojemanja izdelkov. Svetla in zanimivejša trgovina daje uporabniku občutek, da gre za trgovino s kakovostnimi izdelki. Interaktivni elementi, kot so prikazovalniki, mobilne aplikacije z nadgrajeno resničnostjo, ipd. spodbujajo raziskovanje in naredijo izdelke bolj atraktivne.
Keywords: User Experience, public spaces, iBeacon, bluetooth, internet of things
Published in DKUM: 30.10.2015; Views: 1329; Downloads: 154
.pdf Full text (5,02 MB)

The Internet of Things Communication Protocol for Devices with Low Memory Footprint
Sašo Vinkovič, Milan Ojsteršek, original scientific article

Abstract: This paper describes a new communication protocol named XMC which is designed for the transmission of messages between an embedded device and a remote system. A new markup language called XMDD has also been developed and is used to describe the functional profile of the embedded device. The main advantage of the XMC communication protocol is its flexibility and independence from the device type. It is suitable for communication with devices that have a curtailed amount of working memory (a few kB) and limited computing power, i.e. 8-bit or 16-bit microcontrollers. Messaging between the embedded device and the remote systems is done without any interference with the basic source code of the embedded device, thus allowing access to all functionalities and features of the connectable embedded device and is based on the functionality dictionary and built-in features of an embedded device. It also maintains a low production price for the embedded device and from the programming point of view provides a transparent and flexible upgrade of the hardware and software without any redundancy input.
Keywords: communication protocol, internet of things, home automation, functional profile, smart appliance, code generation, embedded system, framework
Published in DKUM: 21.12.2014; Views: 1951; Downloads: 100
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