This research addresses the design and development of a decision support tool to provide healthcare policy makers with insights and feedback when evaluating proposed patient flow and infection mitigation and control strategies in the emergency department (ED). An agent-based modeling (ABM) approach was used to simulate EDs, designed to be tuneable to specific parameters related to specification of topography, agent characteristics and behaviours, and the application in question. In this way, it allows for the user to simulate various ‘what-if’ scenarios related to infection spread and patient flow, where such policy questions may otherwise be left “best intent open loop” in practice. Infection spread modeling and patient flow modeling have been addressed by mathematical and queueing models in the past; however, the application of an ABM approach at the level of an institution is novel. A conjecture of this thesis is that such a tool should be augmented with Machine Learning (ML) technology to assist in performing optimization or search in which patient flow and infection spread are signals or variables of interest. Therefore this work seeks to design and demonstrate a decision support tool with ML capability for optimizing ED processes. The primary contribution of this thesis is the development of a novel, flexible, and tuneable framework for spatial, human-scale ABM in the context of a decision support tool for healthcare policy relating to infection spread and patient flow within EDs . The secondary contribution is the demonstration of the utility of ML for automatic policy generation with respect to the ABM tool. The application of ML to automatically generate healthcare policy in concert with an ABM is believed to be novel and of emerging practical importance. The tertiary contribution is the development and testing of a novel heuristic specific to the ML paradigm used: Genetic Programming (GP). This heuristic aids learning tasks performed in conjunction with ABMs for healthcare policy. The primary contribution is clearly demonstrated within this thesis. The others are of a more difficult nature; the groundwork has been laid for further work in these areas that are likely to remain open for the foreseeable future.

Bakgrund:    Ekonomistyrningen omfattar planering och uppföljning av ekonomiska mål och mått, samt påverkan på en verksamhet och dess personal genom beslut och handling. Styrmedel behövs för att fullgöra ekonomistyrningens funktioner och uppnå företagets uppsatta mål. Budget är ett av de vanligaste styrsystemen inom de formella styrmedlen. I dagsläget är debatten om budgetering intensiv och det råder oenigheter om budgeten i själva verket är ett bra verktyg eller ett onödig ont.   Syfte:     Syftet med denna studie är att undersöka vilken betydelse budgeten har som styrmedel i det valda fallföretaget. Vidare vill vi ta reda på om de driftsansvariga på Burger King upplever budgeten som ett stöd eller en belastning.   Metod:   En kvalitativ undersökningsmetodik och ett deduktivt angreppssätt har använts i  uppsatsen. Uppsatsens primärdata har samlats in via semistrukturerade   intervjuer  med det valda fallföretaget.     Resultat & Slutsats   Efter genomförd undersökning framkom det att syftet med budgeten skiljer sig  åt i de tre fallföretagen. I de större företagen utgjorde ansvarsstyrning det  främsta syftet med budgeten medan budget som planeringsverktyg ansågs vara  viktigare i den mindre organsationen. Samtliga respondenter upplever budgeten mer som ett stöd än en belastning och är överens om att det nästintill hade varit omöjligt att styra verksamheten lönsamt utan budgeten av den orsaken att  Burger King är en komplex organisation präglad av standardisering och små vinstmarginaler. / Background: Financial reporting includes planning and monitoring of financial goals and metrics and  it has an impact on a business and its staff by decisions and actions. Management control measures are required to fulfill the functions of financial reporting and to achieve company goals. Budget is one of the most common management control systems within the formal control means. Currently, the debate about budgeting is intense and there is a disagreement on whether the budget in reality is a useful tool or  an unnecessary evil. Purpose:   The purpose of this study is to investigate the impact that the budget has as a management control measure in the selected case company.  Furthermore we want to find out if the operation managers at Burger King experience the budget as a support or a burden.   Method:   A qualitative research methodology and a deductive approach were used in the essay. The primary data in the essay was collected through semi-structured interviews from the selected case company.       Result & Conclusion The completed research has shown that the purpose of the budget differ in the three  case companies. In the two larger companies the main purpose of the budget was  responsibility management while budget used as a planning tool was considered to be more important in the smaller company. All the respondents are experiencing budget  more as a support than a burden and agree that it would almost be impossible to manage the business profitably without the budget because Burger King is a complex organization characterized by standardization and low profit margins.

Idag använder Försvarsmakten högteknologiska ledningssystem för att underlätta ledning på stridsfältet. Några av dessa system är idag utvecklade för internationella insatser mot en lågteknologisk motståndare, men vad skulle hända i en nationell konflikt mot en högteknologisk motståndare? I denna uppsats utvärderas SLB utifrån ett fiktivt framtidsscenario för att komma fram till tekniska eller taktiska anpassningar för att öka den militära nyttan med systemet. Studien bygger på för och nackdelar med SLB utifrån Försvarsmaktens sex grundläggande förmågor som sedan analyseras för att komma fram till anpassningsmöjligheter för SLB. En av de slutsatser som studien visar är vikten av realistiska övningar med systemet för att öva personalen mot en högteknologisk motståndare. / The Swedish armed forces use high tech command and control systems to increase combat leadership on the battlefield. Some of these systems are designed for international missions against a low tech enemy, but what would happen if the systems where facing a high tech enemy in a national conflict? In this essay SLB is being evaluated from a fictional future scenario to determine technical or tactical adjustments to increase the military use of the system. The essay is based on pros and cons with SLB from the Swedish armed forces six basic ability’s that later are being analyzed to come up with suitable adjustments for SLB. One of the conclusions from the essay shows the importance of realistic exercises with the system to practice the crew against a high tech enemy.

The control and protection system of early nuclear power plants (Generation II) have been designed and built on the then reliable analog system. Technology has evolved in recent times and digital system has replaced most analog technology in most industries. Due to safety precautions and robust licensing requirements in the nuclear industry, the analog and digital system works concurrent to each other in most control and protection systems of nuclear power plants. Due to the ageing, regular maintenance and intermittent operation, the analog plant system often gives faulty signals. The objective of this thesis is to simulate a transient using a simulator to reduce the effects of system faults on the nuclear plant control and protection system, by detecting the faults early. The following steps will be performed: • validating the simulator measurements by simulating a normal operation, • detecting faults early on in the system These can be performed by resorting to a model that generates estimates of the correct sensors signal values based on actual readings and correlations among them. The next step can be performed by a fault detection module which determines early whether or not the plant systems are behaving normally and detects the fault. (Baraldi P. et al, 2010.) / Thesis (MSc (Engineering Sciences in Nuclear Engineering))--North-West University, Potchefstroom Campus, 2013.

The control and protection system of early nuclear power plants (Generation II) have been designed and built on the then reliable analog system. Technology has evolved in recent times and digital system has replaced most analog technology in most industries. Due to safety precautions and robust licensing requirements in the nuclear industry, the analog and digital system works concurrent to each other in most control and protection systems of nuclear power plants. Due to the ageing, regular maintenance and intermittent operation, the analog plant system often gives faulty signals. The objective of this thesis is to simulate a transient using a simulator to reduce the effects of system faults on the nuclear plant control and protection system, by detecting the faults early. The following steps will be performed: • validating the simulator measurements by simulating a normal operation, • detecting faults early on in the system These can be performed by resorting to a model that generates estimates of the correct sensors signal values based on actual readings and correlations among them. The next step can be performed by a fault detection module which determines early whether or not the plant systems are behaving normally and detects the fault. (Baraldi P. et al, 2010.) / Thesis (MSc (Engineering Sciences in Nuclear Engineering))--North-West University, Potchefstroom Campus, 2013.

Smart Grid has emerged a very important concept in modern power systems. The integration of different loads such as residential, commercial and industrial into the smart grid and their optimal operation has a significant effect on the system's reliability, stability, peak power demand and energy price. This work presents the mathematical modeling of a Centralized Temperature Control System (CTCS) of a Multi-Unit Residential Building (MURB) and its optimal operation considering electricity prices and weather variations. The model considers comfort levels, preference settings and activity of residents in different units of the building to determine the optimal operation schedules of the CTCS, minimizing its total energy consumption cost. Multi-objective operation of the MURB is also investigated when residents in different units have conflicting interests, and the impact of such conflicting preferences on the operation of CTCS is analyzed. A case-study on optimal energy management of a single unit house considering net-metering is also presented. The proposed CTCS model is a Mixed Integer Non Linear Programing (MINLP) model, where some of the constraints are linearized to reduce the computational complexity arising from the non-linearity, for real-time applications. The model is studied for various customers' preferences using a realistic MURB model. Simulation results show that significant cost savings can be achieved using the proposed mathematical model.

Teleoperation of hydraulic manipulators is of potential when the presence of the operator, in a remote location, is inconvenient or dangerous. Augmenting such teleoperated systems using haptic sensation will further enhance performance, safety, and convenience. The advantage of using haptic force becomes more evident when it is employed to compensate for undesirable phenomena such as existence of a delayed and lossy communication channel or excitation of the manipulator base. The focus of this thesis is on haptic-enabled control of base-excited hydraulic manipulators that are controlled through a wireless communication channel. The targeted application is live transmission line maintenance. Both unilateral and bilateral controls of teleoperated hydraulic manipulators are studied. On the unilateral front, position error is shown to be an important issue, especially when the position accuracy of the slave manipulator is violated due to fast motion of the operator’s hand at the master site, lack of responsiveness in actuation system, or poor quality of communication channel. With respect to bilateral control, three main challenges are identified, and solutions to these challenges are investigated: (i) accurate control of the slave manipulator when the communication channel is delayed and/or lossy, (ii) control of the teleoperated system when the slave manipulator is mounted atop a moving platform, and (iii) transparent force feedback to improve the position tracking of the system. First, effects of network quality and slave manipulator base excitation are examined on performance of the teleoperated system. The position error between the haptic device implement and the hydraulic manipulator end-effector is shown to increase when the network is delayed and lossy. Next, excitation of the slave manipulator base deviates the end-effector from its reference trajectory, and the position error therefore becomes larger. To alleviate the position inaccuracy, a position referenced force feedback scheme is proposed. The scheme makes the input dynamics a better match with the slave dynamics. Combined with the virtual fixture force, the virtual fixture is shown to aid the operator in following a predefined virtual fixture trajectory. Due to complexity of dynamics, performance evaluations are mostly conducted using experimental validations on actual system in a laboratory setting.

Expectations for turbine-mounted lidar are increasing. The installation of lidars in wind turbine nacelles for measuring incoming winds, preventing wind gusts and increasing energy productions is after recently studies, technically and economically feasible. Among available lidar types, the most studied were continuous wave lidars because they were the most reliable apparatus when this initiative began. However, after studying technical considerations and checking commercial lidars, it was found that pulsed lidarslead this technology due to their promising results. The purpose of this report is to fill the gap between the interest in this technology and the absence of any academic papers that analyzes continuous-wave and pulsed lidars forthe mounted lidar concept. Hence, this report discusses the importance of turbine mounted lidars for wind power industry, different possible configurations and explains why specifically pulsed lidars are becoming more important for the mounted lidarmarket.

This research addresses the design and development of a decision support tool to provide healthcare policy makers with insights and feedback when evaluating proposed patient flow and infection mitigation and control strategies in the emergency department (ED). An agent-based modeling (ABM) approach was used to simulate EDs, designed to be tuneable to specific parameters related to specification of topography, agent characteristics and behaviours, and the application in question. In this way, it allows for the user to simulate various ‘what-if’ scenarios related to infection spread and patient flow, where such policy questions may otherwise be left “best intent open loop” in practice. Infection spread modeling and patient flow modeling have been addressed by mathematical and queueing models in the past; however, the application of an ABM approach at the level of an institution is novel. A conjecture of this thesis is that such a tool should be augmented with Machine Learning (ML) technology to assist in performing optimization or search in which patient flow and infection spread are signals or variables of interest. Therefore this work seeks to design and demonstrate a decision support tool with ML capability for optimizing ED processes. The primary contribution of this thesis is the development of a novel, flexible, and tuneable framework for spatial, human-scale ABM in the context of a decision support tool for healthcare policy relating to infection spread and patient flow within EDs . The secondary contribution is the demonstration of the utility of ML for automatic policy generation with respect to the ABM tool. The application of ML to automatically generate healthcare policy in concert with an ABM is believed to be novel and of emerging practical importance. The tertiary contribution is the development and testing of a novel heuristic specific to the ML paradigm used: Genetic Programming (GP). This heuristic aids learning tasks performed in conjunction with ABMs for healthcare policy. The primary contribution is clearly demonstrated within this thesis. The others are of a more difficult nature; the groundwork has been laid for further work in these areas that are likely to remain open for the foreseeable future.

This thesis investigates using processor-in-loop techniques with non-real-time electro-magnetic transient simulation software for designing microcontroller-based systems. The behaviour of a microcontroller is included in the simulation by directly integrating the target microcontroller into an EMTP co-simulation. Additionally, to assist the design process, the optimization functionality of the EMTP program is extended to the microcontroller algorithm. Since non-realtime simulation does not require specialized test hardware to accurately simulate systems, it is both cheaper and able to be used earlier in the controller design process then hardware-in-loop real-time simulation. A component is created in the PSCAD / EMTDC program to integrate a generic controller running an arbitrary periodic algorithm into an EMTP simulation. The component operation is verified by creating a co-simulation of a three-phase induction motor V / f. speed control. The co-simulation results match the behaviour of the resulting system under a fairly broad range of operating conditions, highlighting the applicability of the technique.