This thesis deals with a design and implementation monitoring system of Starhill society computer network. Part of the design is development and realization hardware modules that provide restarting of remote network devices. Command transmission is realized through discretionary transceivers available, whose regulations can make such transmissions possible. A usage of 466~MHz frequency band is the main assumption. Both concept and implementation are described in the thesis. The designed system is integrated to the existing IS of the association.

This work deals with monitoring of tool machine. It is concerned with design and implementation of automation monitoring system at production company. This diploma work describes the way of automatic scanning of control data,elaboration obtain information and theirs presentation in user aplications. Diploma work serves like as instruction of median firms for implementation of automation monitoring system.

The awareness of power consumption is considered to be an important step of driving energy- saving technologies development. With the ‘Smart Grid’ technologies, Sweden has deployed Advanced Metering Infrastructure (AMI) nationwide. How to present and operate the data be collected by AMI devices in an effective and friendly way has become a problem worth to research on. This thesis project aims to provide an energy consumption monitoring system, which integrate power consumption information from AMI, and geographic information from coordinates, for both customers and power companies, practical for the latter one. Based on that, active web map services of Geographic Information Systems (GIS) in Swedish market are also been analyzed in this thesis report, in order to investigate the features which may be applied in this system. The energy consumption monitoring system presented in this project is developed on the GIS of Google Maps, web-browser based. With the open Google Maps API for Javascript and WAMP environment support, a working system is given locally. In this project, at a designated Swedish area, Smedjebacken, there are 50 end-users with AMI data periodically recorded at the interval level of one hour for a whole year, and 3 substations connecting part of the end-users, all of them have the coordinates to position. AMI data is used to simulate a real-time scenario to test the monitoring function. Functions of this system are separated into two aspects, customers and power companies. Customers can check their power consumption in many different ways, including latest hour’s consumption, any past single day’s consumption, generate whole year’s consumption column chart, comparing with the average consumption level with a certain range of neighbors. Power companies have global view and access authorities of all customers and substations. In addition, an alarm will be triggered if any of the substation’s power loss is over 5%. As a result of analysis, the advantage lay with Google Map on cost of developing, open API and documentations. In the end, a working monitoring system is given under the simulated real-time power consumption scenario.

Home surveillance/monitoring systems are widely used nowadays. An intelligent surveillance system can provide multiple functions for uses. The assumption underlying this thesis project is that a home surveillance system can help people manage their homes better. The thesis presents two investigations into an intelligent home surveillance system implementation. First we will focus on the development of a router platform, which can manage the cameras connected to an intelligent home surveillance system. Such a system will include at least one router, one or more cameras. Some of these cameras will be connected by wireless links. Each camera will be dynamically allocated an IP address. The system will manage and control the various elements of the home surveillance/monitoring system via the network. Second, we will examine potential network security solutions, and choose a suitable solution. A key result of this thesis project is that SRTP and MIKEY are suitable for use in a home surveillance/monitoring system and together they provide authentication and privacy for the information from the camera (and potentially other information). This privacy is an important aspect of a home surveillance/monitoring system, since improper use of this information could be damaging to the homeowner’s privacy and personal integrity.

If not purified leachate from landfills would cause damages on the environment. At most landfills in Sweden local treatment of leachate is achieved, at the rest the leachate is transported to sewertreatment. While no comprehensive legal provisions for discharge exist in Sweden there is a difference in discharges between the installations for landfill. If no comprehensive legal provisions is produced guidance must improve. Treatment of leachate and self monitoring system at fifteen installations in Sweden has been studied and compared. A study of literature about different treatment solutions has also been performed. Practical information about the landfills has been gathered through visits. Processes of treatment described in literature correspond to measures. Variations exists between the self monitoring systems at the installations both between parameters for analyses, how often controls take place and were testpoints are situated. Knowledge of reactions and techniques for treatment of compounds common in leachate exist. Further research about compounds whose effect we do not know for certain must be achieved. / Lakvattenrening och egenkontrollprogram vid femton deponier i Sverige har studerats och jämförts. En litteraturstudie angående olika reningstekniker har även utförts. Information om deponierna och reningsprocesserna har inhämtats via studiebesök och miljörapporter. Vid jämförelse av rening har olika processer studerats separat. Den beskrivning av processerna som finns i litteraturen stämmer väl med uppmätta resultat. Exempel på detta är ammoniumhalter som reduceras i luftad damm, halter totalkväve som minskar genom rening i Satsvis Biologisk Reaktorteknik och reducerad halt suspenderat material som inträffar vid rening genom markfilter. Egenkontrollprogrammen vid de olika deponierna varierar dels i avseende på vilka parametrar som kontrolleras och dels hur ofta kontroller utförs och var provpunkter är belägna. För de vanligast förekommande ämnen som existerar i lakvatten finns kunskap om reaktioner och fungerande tekniker för rening. Problem uppstår för de ämnen vilkas reaktioner och förändringar man ej känner till. Farhågor finns dessutom att det i lakvatten finns föreningar vars existens och verkan vi ej känner till. På grund av detta krävs ytterligare forskning på lakvatten.

This dissertation presents a novel procedure to select explanatory variables, without the influence of human bias, for deterioration model development using National Bridge Inventory (NBI) data. Using NBI information, including geometric data and climate information, candidate explanatory variables can be converted into normalized numeric values and analyzed prior to the development of deterministic or stochastic deterioration models. The prevailing approach for explanatory variable selection is to use expert opinion solicited from experienced engineers. This may introduce human influenced biases into the deterioration modeling process. A framework using Least Absolute Shrinkage and Selection Operator (LASSO) penalized regression and covariance analysis are combined to compensate for this potential bias. Additionally, the cross validation analysis and solution path is used as a standard for the selection of minimum number of explanatory variables. The proposed method is demonstrated through the creation of deterministic deterioration models for deck, superstructure, and substructure for Wyoming bridges and compared to explanatory variables using the expert selection method. The comparison shows a significant decrease in error using the presented framework based on the L2 relative error norm. The final chapter presents a new method to develop stochastic deterioration models using logistic regression. The relative importance amongst explanatory variables is used to develop a classification tree for Wyoming bridges. The bridges in a subset are commonly associated with several explanatory variables, so that the deterioration models can be more representative and accurate than using a single explanatory variable. The logistic regression is used to introduce the stochastic contribution into the deterioration models. In order to avoid missing data problems, the binary categories condition rating, either remaining the same or decreased, are considered for logistic regression. The probability of changes in bridges’ condition rating is obtained and the averages for same condition ratings are used to create transition probability matrix for each age group. The deterioration model based on Markov chain are developed for Wyoming bridges and compared with the previous model based on percentage prediction and optimization approach. The prediction error is analyzed, which demonstrates the considerable performance of the proposed method and is suitable for relatively small data samples.

A proof-of-concept indirect tire-pressure monitoring system is developed using neural net- works to identify the tire pressure of a vehicle tire. A quarter-car model was developed with Matlab and Simulink to generate simulated accelerometer output data. Simulation data are used to train and evaluate a recurrent neural network with long short-term memory blocks (RNN-LSTM) and a convolutional neural network (CNN) developed in Python with Tensorflow. Bayesian Optimization via SigOpt was used to optimize training and model parameters. The predictive accuracy and training speed of the two models with various parameters are compared. Finally, future work and improvements are discussed.

The aim of this master thesis is to investigate the affordances and limitations of using information visualization methods to visualize errors in real-time video streaming data. The study was carried in Red Bee Media company by following several steps including user research, prototyping, and user evaluation. The user research produced design requirements and basic tasks for the prototype. The prototype had to follow the design requirements and use information visualization techniques to visualize the error data. Next, the prototype was evaluated by 5 expert users, all Red Bee Media employees with 1,5 to 3 years experience of working with the existing Red Bee Media system. The results show the prototype obtained a higher SUS score compared to the Red Bee Media monitoring system. Based on a comparison questionnaire, the prototype also had a better visualization for each basic task compared to Red Bee Media monitoring system. The comments from the user evaluation have been categorized into 4 different labels. Those labels listed several usabilities need to be focused on when developing a video monitoring system. / Syftet med denna masteruppsats är att undersöka möjligheterna och begränsningarna av att använda informationsvisualiseringsmetoder för att visualisera fel i realtidsvideoströmningsdata. Studien genomfördes hos företaget Red Bee Media genom att följa flera steg inklusive användarstudier, framtagning av prototyper och användarutvärdering. Användarstudien gav designkrav och grundläggande uppgifter för prototypen. Prototypen måste följa designkraven och använda informationsvisualiseringstekniker för att visualisera feldata. Därefter utvärderades prototypen av 5 expertanvändare, som är medarbetare inom Red Bee Media med 1,5 till 3 års erfarenhet av att arbeta med det befintliga Red Bee Mediasystemet. Resultaten visar att prototypen erhållit ett högre SUS-poäng jämfört med Red Bee Medias nuvarande övervakningssystem. Genom ett jämförelseformulär erhöll även prototypen en bättre visualisering för varje grundläggande uppgift jämfört med Red Bee Medias övervakningssystem. Kommentarer från användarutvärderingen har kategoriserats i 4 olika kategorier. Dessa anger flertalet användningsområden som måste fokuseras på när ett övervakningssystem utvecklas.

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In recent times, attention to the indoor plants in the houses has increased, which can be used to produce food or just for decoration and for health purposes. However, moving plants from their original place in nature to a closed place leads to negative effects due to changing environmental parameters around them. For instance, fluctuations in temperature, light, and soil moisture might affect indoor plant growth process. This work investigates the possibility of using the smart mobile and web applications to monitor remotely the most of changing environmental parameters around plants. These parameters can give the user the real-time information on air temperature and humidity, soil temperature and moisture, as well as amount of light. The Top-down method has been used to design a monitoring system to help the user keep informed of indoor climate changes. This system contains Raspberry and some sensors that are used in sensing various environmental conditions. It also includes the software component which defines services and actions to be taken on the data collected by sensing objects. The system is tested and evaluated in the indoor environment to prove the required concepts. The results indicated that web and mobile interfaces transfer data in real-time manner and send environmental information to the user. The data collected is visualized by different charts and figures to give a better understanding of the surrounding conditions in which the plant grows. It is concluded that the proposed system provides a user-friendly monitoring application to monitor the most indoor environmental parameters.