Intelligent Algorithms for a Hybrid FuelCell/Photovoltaic Standalone System : Simulation Of Hybrid FuelCell/Photovoltaic Standalone System

The Intelligent Algorithm is designed for theusing a Battery source. The main function is to automate the Hybrid System through anintelligent Algorithm so that it takes the decision according to the environmental conditionsfor utilizing the Photovoltaic/Solar Energy and in the absence of this, Fuel Cell energy isused. To enhance the performance of the Fuel Cell and Photovoltaic Cell we used batterybank which acts like a buffer and supply the current continuous to the load. To develop the main System whlogic based controller was used. Fuzzy Logic based controller used to develop this system,because they are chosen to be feasible for both controlling the decision process and predictingthe availability of the available energy on the basis of current Photovoltaic and Battery conditions. The Intelligent Algorithm is designed to optimize the performance of the system and to selectthe best available energy source(s) in regard of the input parameters. The enhance function of these Intelligent Controller is to predict the use of available energy resources and turn on thatparticular source for efficient energy utilization. A fuzzy controller was chosen to take thedecisions for the efficient energy utilization from the given resources. The fuzzy logic basedcontroller is designed in the Matlab-Simulink environment. Initially, the fuzzy based ruleswere built. Then MATLAB based simulation system was designed and implemented. Thenthis whole proposed model is simulated and tested for the accuracy of design and performanceof the system.

Självet, rollerna och pågående koordinationer av mänskliga handlingar : Om att försöka se ’samhället’ som något annat än fängelse eller marionetteater

The self, roles and the ongoing coordination of human action. Trying to see ‘society’ as neither prison nor puppet theatre In the article it is argued that structural North-American role-sociology may be integrated with theories emphasizing ‘society’ as ongoing processes (f. ex. Giddens’ theory of structuration). This is possible if the concept of role is defined as a recurrence oriented to the action of others standing out as a regularity in a societal process. But this definition makes it necessary to in a fundamental way understand what kind of social being the role-actor is. This is done with the help of Hans Joas’ theory of creativity and Merleau-Pontys concept of ‘flesh’ arguing that Meads concept of the ‘I’ maybe understood as an embodied self-asserting I, which at least in reflexive modernity has the creative power to split Meads ‘me’ into a self-voiced subject-me and an other voiced object-me. The embodied I communicating with the subject-me may be viewed as that role-actor which is something else than the role played. But this kind of role-actor is making for new troubles because it is hard to understand how this kind of self is creating self-coherence by using Meads concept of ‘the generalized other’. This trouble is handled by using Alain Touraines concept of the ‘subject’ and arguing that the generalized other is dissolving in de-modernized modernity. In split modernity self-coherence may instead be created by what in the article is called the generalized subject. This concept means a kind of communicative future based evaluation, which has its base in the ‘subject’ opposing the split powers of both the instrumentality of markets and of life-worlds trying to create ‘fundamentalistic’ self-identities. This kind of self is communicative because it also must respect the other as ‘subject’. It exists only in the battle against the forces of the market or a community. It never constructs an ideal city or a higher type of individual. It creates and protects a clearing that is constantly being invaded, to use the words of the old Frenchman himself. Asa kind of test-case it is by the way in the article shown how Becks concept of individualization may be understood in a deeply social and role-sociological way.

Distriktssköterskans upplevelser av att motivera patienter med diabetes typ 2 till hälsosammare levnadsvanor genom evidensbaserad vård : Kvalitativ intervjustudie

Bakgrund: Diabetes typ 2 är en folksjukdom och kan förebyggas eller fördröjas genom hälsosamma levnadsvanor. Att informera och motivera patienterna på ett hälsofrämjande och preventivt sätt är distriktssköterskans ansvar. Distriktssköterskans nyckelroll är att kritiskt granska evidensbaserad forskning för att uppnå en säker vård av god kvalitet som kan implementeras i praktiken. Syfte: Syftet med studien var att beskriva distriktssköterskors upplevelser av att motivera patienter med diabetes typ 2 till hälsosammare levnadsvanor genom evidensbaserad vård. Metod: En kvalitativ ansats användes. Semistrukturerade intervjuer genomfördes med sju distriktssköterskor. Materialet analyserades utifrån Graneheim och Lundmans innehållsanalys. Resultat: Resultatet i föreliggande studie visar att distriktssköterskorna måste utgå från patientens situation och individanpassa informationen. Genom stöd från distriktssköterskan ska patienten kunna motivera sig själv till att genomföra förändringar. Informanterna i studien belyste vikten av att informera patienten om diabetes samt vilka komplikationer som kan uppstå. För att uppnå en patientsäker vård av hög kvalitet ansåg distriktssköterskorna att evidensbaserad kunskap var en förutsättning. Konklusion: För att motivera patienterna till förändrade levnadsvanor krävs det att distriktssköterskorna informerar och undervisar patienterna om diabetes och hur förändrade levnadsvanor påverkar hälsan. Distriktssköterskan måste finna olika metoder för att motivera patienterna. Det som förmedlas ska grunda sig på vetenskap och evidensbaserad kunskap.

Skadeförebyggande träningsmetoder mot hamstringsskador inom svensk herrelitfotboll i jämförelse med rekommenderad evidensbaserad forskning

Purpose The purpose of this study was to describe the evidence-based research recommendations on injury prevention methods against hamstring injuries among Swedish men's elite team in football. The research-based recommendations was then to be compared with the way Swedish elite football teams work to prevent hamstrings injuries. Method First a literature search of PubMed and SPORTDiscuss was made to find the most evidence-based training methods to hamstring injuries. Then an Internet questionnaire regarding injury prevention training methods against hamstring injuries was sent to all Swedish elite football teams. The answers off the questionnaire was then compared with the research that had the most evidence based training methods to hamstring injuries. Results Research shows that the method with the most evidence is eccentric strength training. Flexibility, static stretch and core stability training is research methods that can be used to prevent hamstrings injuries but these methods lack a large validated research basis. 8 of 32 (25 %) teams answered the questionnaire. All teams indicated that they were working with injury prevention methods but the methods varied from the eccentric strength training to periodization and flexibility training. 2 of 8 teams indicated that they worked with eccentric strength training that is recommended by science as the most evidence-based training method. Conclusion The study shows that the teams partly work after what the research recommends as the most evidence-based training methods against hamstring injuries. However, the study lacks validity and further research is needed before definitive conclusions can be drawn.

A Microdata Analysis Approach to Transport Infrastructure Maintenance

Maintenance of transport infrastructure assets is widely advocated as the key in minimizing current and future costs of the transportation network. While effective maintenance decisions are often a result of engineering skills and practical knowledge, efficient decisions must also account for the net result over an asset's life-cycle. One essential aspect in the long term perspective of transport infrastructure maintenance is to proactively estimate maintenance needs. In dealing with immediate maintenance actions, support tools that can prioritize potential maintenance candidates are important to obtain an efficient maintenance strategy. This dissertation consists of five individual research papers presenting a microdata analysis approach to transport infrastructure maintenance. Microdata analysis is a multidisciplinary field in which large quantities of data is collected, analyzed, and interpreted to improve decision-making. Increased access to transport infrastructure data enables a deeper understanding of causal effects and a possibility to make predictions of future outcomes. The microdata analysis approach covers the complete process from data collection to actual decisions and is therefore well suited for the task of improving efficiency in transport infrastructure maintenance. Statistical modeling was the selected analysis method in this dissertation and provided solutions to the different problems presented in each of the five papers. In Paper I, a time-to-event model was used to estimate remaining road pavement lifetimes in Sweden. In Paper II, an extension of the model in Paper I assessed the impact of latent variables on road lifetimes; displaying the sections in a road network that are weaker due to e.g. subsoil conditions or undetected heavy traffic. The study in Paper III incorporated a probabilistic parametric distribution as a representation of road lifetimes into an equation for the marginal cost of road wear. Differentiated road wear marginal costs for heavy and light vehicles are an important information basis for decisions regarding vehicle miles traveled (VMT) taxation policies. In Paper IV, a distribution based clustering method was used to distinguish between road segments that are deteriorating and road segments that have a stationary road condition. Within railway networks, temporary speed restrictions are often imposed because of maintenance and must be addressed in order to keep punctuality. The study in Paper V evaluated the empirical effect on running time of speed restrictions on a Norwegian railway line using a generalized linear mixed model.

A fuzzy rule-based decision support system for Duodopa treatment in Parkinson

A decision support system (DSS) was implemented based on a fuzzy logic inference system (FIS) to provide assistance in dose alteration of Duodopa infusion in patients with advanced Parkinson’s disease, using data from motor state assessments and dosage. Three-tier architecture with an object oriented approach was used. The DSS has a web enabled graphical user interface that presents alerts indicating non optimal dosage and states, new recommendations, namely typical advice with typical dose and statistical measurements. One data set was used for design and tuning of the FIS and another data set was used for evaluating performance compared with actual given dose. Overall goodness-of-fit for the new patients (design data) was 0.65 and for the ongoing patients (evaluation data) 0.98. User evaluation is now ongoing. The system could work as an assistant to clinical staff for Duodopa treatment in advanced Parkinson’s disease.