Intelli-lamp, ett intelligent ljussystem som kommunicerar trådlöst

Interactive Institute’s Power Studio i Eskilstuna har ett projekt som heter AWARE. AWARE är ett designorienterat forskningsprojekt som syftar till att öka människors medvetenhet om hur elenergi används i vardagen, speciellt i hemmen. Målet är att uppmärksamma människor om deras elanvändning samt ge de ett medel att kunna kontrollera och göra deras elanvändning mer effektiv.Som en del i AWARE ska en intelligent bärbar armatur som är batteridriven tas fram som ska få människor att tänka på att elenergi inte är något konstant och outtömligt. Det ska finnas visuella effekter som på ett bra sätt kan väcka dessa tankar. Vid laddning av dessa armaturer kan t.ex. ett svagt pulserande ljus användas för att ge effekten av att armaturen tankas med elenergi. Detta examensarbete bygger på att producera två prototyper av dessa armaturer som kan kommunicera trådlöst med varandra.Examensarbetet resulterade i två stycken fungerande prototyper. Dessa prototyper klarar av att kommunicera och styra varandra och utgör en enkel plattform för vidare utveckling. Med lite mer arbete kommer prototyperna

Bland äckliga fittor och kunskapsluckor : En kritisk analys av tonårstjejers sexuella agens och dess frigörande och diciplinerande potential, baserat på berättelser av barnmorskor och kuratorer

Ett använt begrepp när det gäller tonårstjejer och sexualitet är sexuell agens, att handla efter egna beslut. Avsikten med denna studie är att nå en ökad förståelse av vad som påverkar utvecklingen av sexuell agens hos tonårstjejer, utifrån berättelser av två professioner vid ungdomsmottagningar. Syftet är också att göra en kritisk analys och en sociologisk teoretisering av upplevelsen av sexuell agens samt utifrån ett maktperspektiv utreda dess disciplinerande och frigörande potential. Tidigare forskning visar främst att det finns en avsaknad av lust och kunskap hos tonårstjejer samt att deras förmåga att ta självständiga beslut i relation till sexualitet är avhängt deras agens. I denna studie genomfördes kvalitativa intervjuer med barnmorskor och kuratorer vid ungdomsmottagningar. Tematisk analysmetod användes vid tolkningsförfarandet. Det empiriska materialet visade bland annat att tonårstjejers agens är influerat av yttre påverkan, gränssättning, skam, självförtroende och kunskap. För att nå en sociologisk förståelse av det empiriska materialet har sociologiska perspektiv på sexualitet, makt samt Foucaults teori om kroppens disciplinering använts. Baserat på professionerna vid ungdomsmottagningarna visade analysen att utvecklingen av sexuell agens gynnas av kunskap och självförtroende, hämmas av påverkan och skam samt både gynnas och hämmas av gränssättning. Den fördjupade analysen visade att sexuell agens kan skapa autonoma beslut, vilket minskar sårbarheten för maktens disciplin och därmed verkar frigörande inom disciplinens egendefinierade gränser. En avslutande slutsats var att upplevelsen av sexuell agens bör förstås som främst disciplinerande.  

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.

Charterturisme som en produkt : en sociologisk analyse af agens i oplevelsesøkonomien

Charter tourism as a product: a sociological analysis of agency in the experience economy In recent years charter tourism as a convenient and cost-effective mode of travelling has been declining. This may be related to dominating societal ideals promoting self-actualization, individual exploration and spontaneity. However, not much is known about the development of ideals and practices among charter tourists. By use of ethnographic fieldwork methodology, including pre-departure and post-travel telephone interviews, this exploratory study investigated a group of Danish charter tourists travelling to Gran Canaria. Results show that the charter tourists were active in navigating between a series of central dilemmas posed by the consumption of a mass product in an individualized societal context, thereby shaping their experiences to form a desirable tourist product.

Effective Data Management Enables Intelligent Utility Management

Instrumentation and automation plays a vital role to managing the water industry. These systems generate vast amounts of data that must be effectively managed in order to enable intelligent decision making. Time series data management software, commonly known as data historians are used for collecting and managing real-time (time series) information. More advanced software solutions provide a data infrastructure or utility wide Operations Data Management System (ODMS) that stores, manages, calculates, displays, shares, and integrates data from multiple disparate automation and business systems that are used daily in water utilities. These ODMS solutions are proven and have the ability to manage data from smart water meters to the collaboration of data across third party corporations. This paper focuses on practical, utility successes in the water industry where utility managers are leveraging instantaneous access to data from proven, commercial off-the-shelf ODMS solutions to enable better real-time decision making. Successes include saving $650,000 / year in water loss control, safeguarding water quality, saving millions of dollars in energy management and asset management. Immediate opportunities exist to integrate the research being done in academia with these ODMS solutions in the field and to leverage these successes to utilities around the world.

Optimized Water Demand Management Through Intelligent Sensing And Analytics: The WISDOM Approach

New business and technology platforms are required to sustainably manage urban water resources [1,2]. However, any proposed solutions must be cognisant of security, privacy and other factors that may inhibit adoption and hence impact. The FP7 WISDOM project (funded by the European Commission - GA 619795) aims to achieve a step change in water and energy savings via the integration of innovative Information and Communication Technologies (ICT) frameworks to optimize water distribution networks and to enable change in consumer behavior through innovative demand management and adaptive pricing schemes [1,2,3]. The WISDOM concept centres on the integration of water distribution, sensor monitoring and communication systems coupled with semantic modelling (using ontologies, potentially connected to BIM, to serve as intelligent linkages throughout the entire framework) and control capabilities to provide for near real-time management of urban water resources. Fundamental to this framework are the needs and operational requirements of users and stakeholders at domestic, corporate and city levels and this requires the interoperability of a number of demand and operational models, fed with data from diverse sources such as sensor networks and crowsourced information. This has implications regarding the provenance and trustworthiness of such data and how it can be used in not only the understanding of system and user behaviours, but more importantly in the real-time control of such systems. Adaptive and intelligent analytics will be used to produce decision support systems that will drive the ability to increase the variability of both supply and consumption [3]. This in turn paves the way for adaptive pricing incentives and a greater understanding of the water-energy nexus. This integration is complex and uncertain yet being typical of a cyber-physical system, and its relevance transcends the water resource management domain. The WISDOM framework will be modeled and simulated with initial testing at an experimental facility in France (AQUASIM – a full-scale test-bed facility to study sustainable water management), then deployed and evaluated in in two pilots in Cardiff (UK) and La Spezia (Italy). These demonstrators will evaluate the integrated concept providing insight for wider adoption.

An Intelligent System for Petroleum Well Drilling Cutting Analysis

Cutting analysis is a important and crucial task task to detect and prevent problems during the petroleum well drilling process. Several studies have been developed for drilling inspection, but none of them takes care about analysing the generated cutting at the vibrating shale shakers. Here we proposed a system to analyse the cutting's concentration at the vibrating shale shakers, which can indicate problems during the petroleum well drilling process, such that the collapse of the well borehole walls. Cutting's images are acquired and sent to the data analysis module, which has as the main goal to extract features and to classify frames according to one of three previously classes of cutting's volume. A collection of supervised classifiers were applied in order to allow comparisons about their accuracy and efficiency. We used the Optimum-Path Forest (OPF), Artificial Neural Network using Multi layer Perceptrons (ANN-MLP), Support Vector Machines (SVM) and a Bayesian Classifier (BC) for this task. The first one outperformed all the remaining classifiers. Recall that we are also the first to introduce the OPF classifier in this field of knowledge. Very good results show the robustness of the proposed system, which can be also integrated with other commonly system (Mud-Logging) in order to improve the last one's efficiency.

Application of intelligent systems for specification of automotive equipments using LEDs

The advantages offered by the electronic component light emitting diode ( LED) have caused a quick and wide application of this device in replacement of incandescent lights. However, in its combined application, the relationship between the design variables and the desired effect or result is very complex and it becomes difficult to model by conventional techniques. This work consists of the development of a technique, through artificial neural networks, to make possible to obtain the luminous intensity values of brake lights using LEDs from design data. (C) 2005 Elsevier B.V. All rights reserved.