783 resultados para Night vision devices


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Osuuspankkiryhmä on valinnut markkinointistrategiakseen asiakassuuntautuneen palvelutavan. Pankin puolella uskotaan, että näin toimimalla on mahdollista saavuttaa pitkäaikainen asiakkuus ja sitä kautta saada kilpailuetua muihin pankkeihin nähden. Koska pankkimaailma, myös Osusspankkiryhmä, on etsinyt yhteistyökumppaneita esimerkiksi vakuutusyhtiöistä, tässä tutkimustyössä on käsitelty myös suhdemarkkinointia, joka on asiakassuhdemarkkinointia laajempi käsite. Valtakunnallisessa OP-Kiinteistövälitys -ketjussakin on valittu sama strategia kuin pankin puolella. Lisäksi alueet voivat tehdä oman strategian valtakunnallisen pohjalta. pohjois-Kymen OP-Kiinteistökeskus Oy on paikallisen pankin, Kouvolan Seudun Osuuspankin, omistama yritys, joten voidaan väittää, että kiinteistövälityksen varsinainen tehtävä on tukea konsernin liiketoiminnan ydintä, pankkitoimintaa. Tutkielmani tarkoitus on pohtia, miten Pohjois-Kymen OP-Kiinteistökeskuksen tulisi toimia pankin vision ja strategian mukaan, huomioituna se, että kiinteistövälitys on asiantuntija organisaatio ja sillä on oma valtakunnallinen strategia.

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2000-luvulla paperikoneiden kustannuskilpailukykyä on parannettu jatkuvasti, mutta se ei ole ollut riittävää. Tarve muutoksiin havaitaan kilpailukyvyn puutteena vuosina 2007–2008. Eräänä hankkeena on paperikoneen suunnitteleminen ja valmistaminen kopiokonseptikoneena, jossa toimitusmoduulina on paperikone perälaatikolta rullaimelle. Moduulikonsepti on toimintatapa, jossa paperikone tuotteistetaan rakenneryhmien ja laitteiden osalta tietyn ominaisuuden mukaan koko paperikonelinjassa. Paperikone rakentuisi sovituista moduulipalikoista. Moduulikonseptitavassa paperikone suunnitellaan ja toteutetaan aina malliaineiston pohjalta kaikissa rakenneryhmissä. Työssä on tarkoitus vertailla kopiokonsepti- ja moduulikonseptimallia. Kaksi tutkimustyön pääkysymystä käsittelee ulkoista kilpailukykyä ja yrityksen sisäistä tehokkuutta valmistaa paperi- ja kartonkikoneita kopiokonsepti- tai moduulikonseptimallilla näkökulmana pitkäaikainen kilpailuetu. Tutkimustulokset selvitettiin Kamenskyn kehittämällä yrityksen strategisen arkkitehtuurin mallilla. Sisäiset ja ulkoiset toiminnot analysoitiin. Ulkoisen ja sisäisen analyysin pohjalta muodostettiin yhdistetty näkemys, synteesianalyysi, joka vastaa työn tavoitteisiin, kahteen pääkysymykseen sekä alakysymyksiin. Kopiokonsepti ei ole ratkaisu pitkäaikaiseen kilpailukykyyn, koska jokainen paperilaji ja konekoko tarvitsevat oman kopiomallinsa. Nykyiset henkilöresurssit eivät tule riittämään näihin koneisiin tarvittavien dokumenttien luomiseen ja ylläpitoon. Suunnittelun perustehtävä muuttuisi projektisuunnittelusta kopiomallien suunnitteluksi. Moduulikonseptilla saavutetaan kaikki ne edut, joita kopiokonseptilla on tavoiteltu, mukaan lukien nimikkeiden uudelleenkäyttö. Moduulikonseptilla voidaan toteuttaa kaikki nykyiset ja tulevat paperikoneet ja paperilajit. Vuosittain saatavissa oleva määrä on 1,5–2,5 kopiokonseptipaperikonetta. Moduulikonseptimallia on saatavissa sama määrä.

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ABSTRACTObjective:to assess the impact of the shift inlet trauma patients, who underwent surgery, in-hospital mortality.Methods:a retrospective observational cohort study from November 2011 to March 2012, with data collected through electronic medical records. The following variables were statistically analyzed: age, gender, city of origin, marital status, admission to the risk classification (based on the Manchester Protocol), degree of contamination, time / admission round, admission day and hospital outcome.Results:during the study period, 563 patients injured victims underwent surgery, with a mean age of 35.5 years (± 20.7), 422 (75%) were male, with 276 (49.9%) received in the night shift and 205 (36.4%) on weekends. Patients admitted at night and on weekends had higher mortality [19 (6.9%) vs. 6 (2.2%), p=0.014, and 11 (5.4%) vs. 14 (3.9%), p=0.014, respectively]. In the multivariate analysis, independent predictors of mortality were the night admission (OR 3.15), the red risk classification (OR 4.87), and age (OR 1.17).Conclusion:the admission of night shift and weekend patients was associated with more severe and presented higher mortality rate. Admission to the night shift was an independent factor of surgical mortality in trauma patients, along with the red risk classification and age.

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Purpose To evaluate the compliance and degree of satisfaction of nulligravida (has not given birth) and parous (had already given birth) women who are using intrauterine devices (IUDs). Methods A cross-sectional cohort study was conducted comparing nulligravida and parous women who had had an IUD inserted between July 2009 and November 2011. A total of 84 nulligravida women and 73 parous women were included. Interviews were conducted with women who agreed to participate through telephone contact. Statistical analysis was performed with Student s t-test and Mann-Whitney test for numeric variables; Pearson s chi-square test to test associations; and, whenever pertinent, Fisher s exact test for categorical variables. A survival curve was constructed to estimate the likelihood of each woman continuing the use of the IUD. A significance level of 5% was established. Results When compared with parous women, nulligravida women had a higher education level (median: 12 vs. 10 years). No statistically significant differences were found between the nulligravida and parous women with respect to information on the use of the IUD, prior use of other contraceptive methods, the reason for having chosen the IUD as the current contraceptive method, reasons for discontinuing the use and adverse effects, compliance, and degree of satisfaction. The two groups did not show any difference in terms of continued use of the IUD (p = 0.4). Conclusion There was no difference in compliance or the degree of satisfaction or continued use of IUDs between nulligravida and parous women, suggesting that IUD use may be recommended for women who have never been pregnant.

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Technological developments in microprocessors and ICT landscape have made a shift to a new era where computing power is embedded in numerous small distributed objects and devices in our everyday lives. These small computing devices are ne-tuned to perform a particular task and are increasingly reaching our society at every level. For example, home appliances such as programmable washing machines, microwave ovens etc., employ several sensors to improve performance and convenience. Similarly, cars have on-board computers that use information from many di erent sensors to control things such as fuel injectors, spark plug etc., to perform their tasks e ciently. These individual devices make life easy by helping in taking decisions and removing the burden from their users. All these objects and devices obtain some piece of information about the physical environment. Each of these devices is an island with no proper connectivity and information sharing between each other. Sharing of information between these heterogeneous devices could enable a whole new universe of innovative and intelligent applications. The information sharing between the devices is a diffcult task due to the heterogeneity and interoperability of devices. Smart Space vision is to overcome these issues of heterogeneity and interoperability so that the devices can understand each other and utilize services of each other by information sharing. This enables innovative local mashup applications based on shared data between heterogeneous devices. Smart homes are one such example of Smart Spaces which facilitate to bring the health care system to the patient, by intelligent interconnection of resources and their collective behavior, as opposed to bringing the patient into the health system. In addition, the use of mobile handheld devices has risen at a tremendous rate during the last few years and they have become an essential part of everyday life. Mobile phones o er a wide range of different services to their users including text and multimedia messages, Internet, audio, video, email applications and most recently TV services. The interactive TV provides a variety of applications for the viewers. The combination of interactive TV and the Smart Spaces could give innovative applications that are personalized, context-aware, ubiquitous and intelligent by enabling heterogeneous systems to collaborate each other by sharing information between them. There are many challenges in designing the frameworks and application development tools for rapid and easy development of these applications. The research work presented in this thesis addresses these issues. The original publications presented in the second part of this thesis propose architectures and methodologies for interactive and context-aware applications, and tools for the development of these applications. We demonstrated the suitability of our ontology-driven application development tools and rule basedapproach for the development of dynamic, context-aware ubiquitous iTV applications.

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Monimutkaisissa ja muuttuvissa ympäristöissä työskentelevät robotit tarvitsevat kykyä manipuloida ja tarttua esineisiin. Tämä työ tutkii robottitarttumisen ja robottitartuntapis-teiden koneoppimisen aiempaa tutkimusta ja nykytilaa. Nykyaikaiset menetelmät käydään läpi, ja Le:n koneoppimiseen pohjautuva luokitin toteutetaan, koska se tarjoaa parhaan onnistumisprosentin tutkituista menetelmistä ja on muokattavissa sopivaksi käytettävissä olevalle robotille. Toteutettu menetelmä käyttää intensititeettikuvaan ja syvyyskuvaan po-hjautuvia ominaisuuksi luokitellakseen potentiaaliset tartuntapisteet. Tämän toteutuksen tulokset esitellään.

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Vision affords us with the ability to consciously see, and use this information in our behavior. While research has produced a detailed account of the function of the visual system, the neural processes that underlie conscious vision are still debated. One of the aims of the present thesis was to examine the time-course of the neuroelectrical processes that correlate with conscious vision. The second aim was to study the neural basis of unconscious vision, that is, situations where a stimulus that is not consciously perceived nevertheless influences behavior. According to current prevalent models of conscious vision, the activation of visual cortical areas is not, as such, sufficient for consciousness to emerge, although it might be sufficient for unconscious vision. Conscious vision is assumed to require reciprocal communication between cortical areas, but views differ substantially on the extent of this recurrent communication. Visual consciousness has been proposed to emerge from recurrent neural interactions within the visual system, while other models claim that more widespread cortical activation is needed for consciousness. Studies I-III compared models of conscious vision by studying event-related potentials (ERP). ERPs represent the brain’s average electrical response to stimulation. The results support the model that associates conscious vision with activity localized in the ventral visual cortex. The timing of this activity corresponds to an intermediate stage in visual processing. Earlier stages of visual processing may influence what becomes conscious, although these processes do not directly enable visual consciousness. Late processing stages, when more widespread cortical areas are activated, reflect the access to and manipulation of contents of consciousness. Studies IV and V concentrated on unconscious vision. By using transcranial magnetic stimulation (TMS) we show that when early visual cortical processing is disturbed so that subjects fail to consciously perceive visual stimuli, they may nevertheless guess (above chance-level) the location where the visual stimuli were presented. However, the results also suggest that in a similar situation, early visual cortex is necessary for both conscious and unconscious perception of chromatic information (i.e. color). Chromatic information that remains unconscious may influence behavioral responses when activity in visual cortex is not disturbed by TMS. Our results support the view that early stimulus-driven (feedforward) activation may be sufficient for unconscious processing. In conclusion, the results of this thesis support the view that conscious vision is enabled by a series of processing stages. The processes that most closely correlate with conscious vision take place in the ventral visual cortex ~200 ms after stimulus presentation, although preceding time-periods and contributions from other cortical areas such as the parietal cortex are also indispensable. Unconscious vision relies on intact early visual activation, although the location of visual stimulus may be unconsciously resolved even when activity in the early visual cortex is interfered with.

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Tämän diplomityön tavoitteena oli tutkia ja selvittää kuormakoneen takarunkorakenteen silloitushitsauksen robotisointia. Työ päätettiin rajata koskemaan vain tiettyä moduulia takarungosta. Työssä kartoitettiin tarvittava laitteisto, selvitettiin runkomoduulin silloitusajat sekä arvioitiin investoinnin kannattavuutta. Silloituksen suorittavan järjestelmän vaatimuksena oli, että sen tulee asettaa osat paikoilleen hitsauskiinnittimeen ja tehdä tarvittavat silloitushitsaukset automaattisesti. Sopivaksi laitteistoksi osoittautui taloudellisuuden ja toiminnallisuuden näkökulmasta yhdestä kappaleenkäsittely- sekä hitsausrobotista muodostuva järjestelmä. Kappaleenkäsittelijän ohjauksessa käytetään konenäköä sekä osien paikannuksessa että laadunvarmistuksessa. Robotit liikkuvat yhteisellä lineaariradalla, jonka rinnalla on kappaleenkäsittelylaitteistoja hitsauskiinnittimineen. Robotisoinnin käyttöönotolla yhden takarungon moduulien kokoonpanoon ja silloitukseen käytettävä aika pienenee alle puoleen manuaaliseen työhön verrattuna. Näin saavutetaan merkittäviä kustannussäästöjä. Lisäksi hitsauskiinnittimet voivat olla verrattain yksinkertaisia manuaalityöhön verrattuna, jolloin myös säästetään työkaluinvestoinneissa. Robotisointiprojektin jatkotoimenpiteitä ovat laajamittaiset tuotantosimulaatiot layoutin, laitteiston sekä työkiertojen tarkaksi määrittämiseksi. Lisäksi itse tuotetta on muokattava paremmin robottisilloitukseen sopivaksi.

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This doctoral thesis was published in printed form in 1987. It was digitized from paper copy in 2013. Unfortunately on some pages the digitizaion process has not been complete, i.e there are some minor typographic erros on some pages.

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One of the problems that slows the development of off-line programming is the low static and dynamic positioning accuracy of robots. Robot calibration improves the positioning accuracy and can also be used as a diagnostic tool in robot production and maintenance. A large number of robot measurement systems are now available commercially. Yet, there is a dearth of systems that are portable, accurate and low cost. In this work a measurement system that can fill this gap in local calibration is presented. The measurement system consists of a single CCD camera mounted on the robot tool flange with a wide angle lens, and uses space resection models to measure the end-effector pose relative to a world coordinate system, considering radial distortions. Scale factors and image center are obtained with innovative techniques, making use of a multiview approach. The target plate consists of a grid of white dots impressed on a black photographic paper, and mounted on the sides of a 90-degree angle plate. Results show that the achieved average accuracy varies from 0.2mm to 0.4mm, at distances from the target from 600mm to 1000mm respectively, with different camera orientations.

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This work presents the implementation and comparison of three different techniques of three-dimensional computer vision as follows: • Stereo vision - correlation between two 2D images • Sensorial fusion - use of different sensors: camera 2D + ultrasound sensor (1D); • Structured light The computer vision techniques herein presented took into consideration the following characteristics: • Computational effort ( elapsed time for obtain the 3D information); • Influence of environmental conditions (noise due to a non uniform lighting, overlighting and shades); • The cost of the infrastructure for each technique; • Analysis of uncertainties, precision and accuracy. The option of using the Matlab software, version 5.1, for algorithm implementation of the three techniques was due to the simplicity of their commands, programming and debugging. Besides, this software is well known and used by the academic community, allowing the results of this work to be obtained and verified. Examples of three-dimensional vision applied to robotic assembling tasks ("pick-and-place") are presented.

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The papermaking industry has been continuously developing intelligent solutions to characterize the raw materials it uses, to control the manufacturing process in a robust way, and to guarantee the desired quality of the end product. Based on the much improved imaging techniques and image-based analysis methods, it has become possible to look inside the manufacturing pipeline and propose more effective alternatives to human expertise. This study is focused on the development of image analyses methods for the pulping process of papermaking. Pulping starts with wood disintegration and forming the fiber suspension that is subsequently bleached, mixed with additives and chemicals, and finally dried and shipped to the papermaking mills. At each stage of the process it is important to analyze the properties of the raw material to guarantee the product quality. In order to evaluate properties of fibers, the main component of the pulp suspension, a framework for fiber characterization based on microscopic images is proposed in this thesis as the first contribution. The framework allows computation of fiber length and curl index correlating well with the ground truth values. The bubble detection method, the second contribution, was developed in order to estimate the gas volume at the delignification stage of the pulping process based on high-resolution in-line imaging. The gas volume was estimated accurately and the solution enabled just-in-time process termination whereas the accurate estimation of bubble size categories still remained challenging. As the third contribution of the study, optical flow computation was studied and the methods were successfully applied to pulp flow velocity estimation based on double-exposed images. Finally, a framework for classifying dirt particles in dried pulp sheets, including the semisynthetic ground truth generation, feature selection, and performance comparison of the state-of-the-art classification techniques, was proposed as the fourth contribution. The framework was successfully tested on the semisynthetic and real-world pulp sheet images. These four contributions assist in developing an integrated factory-level vision-based process control.

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The recent emergence of low-cost RGB-D sensors has brought new opportunities for robotics by providing affordable devices that can provide synchronized images with both color and depth information. In this thesis, recent work on pose estimation utilizing RGBD sensors is reviewed. Also, a pose recognition system for rigid objects using RGB-D data is implemented. The implementation uses half-edge primitives extracted from the RGB-D images for pose estimation. The system is based on the probabilistic object representation framework by Detry et al., which utilizes Nonparametric Belief Propagation for pose inference. Experiments are performed on household objects to evaluate the performance and robustness of the system.

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Weed mapping is a useful tool for site-specific herbicide applications. The objectives of this study were (1) to determine the percentage of land area covered by weeds in no-till and conventionally tilled fields of common bean using digital image processing and geostatistics, and (2) to compare two types of cameras. Two digital cameras (color and infrared) and a differential GPS were affixed to a center pivot structure for image acquisition. Sample field images were acquired in a regular grid pattern, and the images were processed to estimate the percentage of weed cover. After calculating the georeferenced weed percentage values, maps were constructed using geostatistical techniques. Based on the results, color images are recommended for mapping the percentage of weed cover in no-till systems, while infrared images are recommended for weed mapping in conventional tillage systems.

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In this thesis, the contact resistance of graphene devices was investigated because high contact resistance is detrimental to the performance of graphene field-effect transistors (GFET). Method for increasing so-called edge-contact area was applied in device fabrication process, as few nanometers thick Ni layer was used as a catalytic etchant during the annealing process. Finally, Ni was also used as a metal for contact. GFETs were fabricated using electron beam lithography using graphene fabricated by chemical vapor deposition (CVD). Critical part of the fabrication process was to preserve the high quality of the graphene channel while etching the graphene at contact areas with Ni during the annealing. This was achieved by optimizing the combination of temperature and gas flows. The structural properties of graphene were studied using scanning electron microscopy, scanning confocal μ-Raman spectroscopy and optical microscopy. Evaluation of electric transport properties including contact resistance was carried out by transmission line method and four-probe method. The lowest contact resistance found was about at 350 Ωμm. In addition, different methods to transfer CVD graphene synthesized on copper were studied. Typical method using PMMA as a supporting layer leaves some residues after its removal, thus effecting on the performance of a graphene devices. In a metal assisted transfer method, metal is used as an interfacial layer between PMMA and graphene. This allows more effective removal of PMMA. However, Raman spectra of graphene transferred by metal assisted method showed somewhat lower quality than the PMMA assisted method