1,720,966 research outputs found
Subpicosecond quantum dot saturable absorber mode-locked semiconductor disk laser
No full textWe report the generation of subpicosecond pulses from a passively mode locked, optically pumped quantum well semiconductor disk laser using a quantum dot semiconductor saturable absorber mirror (SESAM). We obtained 870 fs pulses at a repetition rate of 895 MHz with average output power of 45 mW at 1027.5 nm. The mode locking operation was insensitive to SESAM temperature over the range of ?10 to 85 °C, with the pulse duration variation thought to be dominated by the temperature dependence of the group delay dispersio
Quantum dot based semiconductor disk lasers
Full text linkSince its first successful demonstration more than five decades ago [1], laser technology experienced a huge leap forward in terms of technological innovations and the understanding of underlying physical principles of operation. There were many efforts made by those in both the scientific and commercial communities who envisioned the potential of lasers. As a result, the laser now is a powerful scientific tool in many disciplines. It is widely used not only in physics, but also in chemistry, biology, medicine, engineering, environmental sciences, arts and their interdisciplinary fields. Moreover, it now has a vast number of applications in industry and everyday life whether it is light and matter interaction, communication and IT, healthcare and many other uses of this light source. By the same time, photonics comprises a market of multi-billion EUR value [2].At every stage of development, different laser parameters were engineered to suit those to specific application with some other parameters usually being sacrificed. Together with this, things like compactness and cost were always an issue to consider. A huge impact to the field of photonics was made by the development of semiconductor based structures that could be used as a light amplifying medium. Semiconductor lasers not only allowed the miniaturization of many devices, but also provided new opportunities for laser scientists due to ability to engineer their bandgap properties and to confine the carriers in different dimensions.The development of vertical external cavity surface emitting lasers (VECSELs), which are also known as optically pumped semiconductor lasers (OPSLs) or semiconductor disk lasers (SDLs) realized an important feature in semiconductor based lasers – high multi- Watt output power was combined with diffraction limited output beam profile.This work is devoted to the development of semiconductor disk lasers based on novel quantum dot (QD) structures. QD structures were embedded in this type of laser recently and allowed a number of advantages compared with the widely used quantum well (QW) structure. These included new spectral region coverage at 1-1.3 µm, enhanced wavelength tuneability and ultrafast carrier dynamics, which potentially will improve mode locked operation. QDs were also used as a base for semiconductor saturable absorbers in modelocking experiments.During the time of these studies, QD SDLs at new spectral regions and record output power were demonstrated. Power scaling up to 6 W was achieved for 1040 nm, 2.25 W for 1180 nm and 1.6 W for 1260 nm devices. Excited state transition in QDs was shown to be more efficient for high power QD SDLs as compared with ground state transition. New spectral regions were covered by QD SDLs using frequency doubling into the visible region with green, orange and red light emission with output powers of 2 W, 2.5 W and 0.34 W respectively. The broad gain bandwidth of the quantum dot material was explored and wavelength tuneability up to 60 nm around 1040 nm, 69 nm around 1180 nm, and 25 nm around 1260 nm was demonstrated.A QD based saturable absorber was used to mode-lock the quantum well SDL, resulting in the first such type of laser with sub-picosecond pulse widths. Pulses with duration of 870 fs at a repetition rate of 896 MHz and wavelength of 1028.5 nm were demonstrated. Pulses were 1.14 times Fourier limited and an average output power of 46 mW was achieved. Finally, quantum well based VECSELs with electrical pumping schemes were tested. The devices were first tested in the cw configuration. Highest output powers up to 60 mW were achieved from such devices. Devices were then tested in mode-locking experiments. Pulsed operation was observed and the measurements indicated 270 ps width pulses with 8 mW average output power at 1.9 GHz repetition rate. All devices operated at 980 nm.This thesis consists of six chapters. In the introductory part of this work, QD based SDLs and their development and applications will be reviewed together with their operational principles. Chapter two will describe the growth, fabrication and preparation of SDL samples. Continuous wave and mode-locked operation results will be presented in chapters three and four. Electrically pumped devices will be presented in chapter five along with experimental results. Conclusions and future prospects will be given at the end of this work. The list of publications which were generated during the studies is included at the beginning of this work.The work presented in thesis was done under the FAST-DOT project. This is a European FP 7 project targeted at the development of compact and low-cost novel quantum dot based laser sources for biophotonic applications.EThOS - Electronic Theses Online ServiceGBUnited Kingdo
Research of company’s solvency problem identification system.
No full textOn time payment of invoices is an important factor that influences a company's solvency. Banks usually do not follow their customer payments until the customer pays his invoices. When the bank notices that his customer invoices are not paid usually it is too late and the company goes bankrupt. To avoid this it is important to identify companies that have solvency problems. In order to identify these companies company solvency prediction models are made. These systems alert the bank, that a company may have solvency problems in the near future. The aim of this work is to research a company's solvency problem identification system using not only regression but also classification models. Following tasks were created: 1. research company solvency detection systems that use only invoice information in other publications; 2. create a classification model for the current system; 3. create an adaptive company solvency problem detection system; 4. evaluate the quality of the system. Decision tree ensemble, support vector machine, Bayes and deep learning neural network models were used and analysed. It was determined that 5 to 6 features are sufficient for a successful performance of the system. The optimal threshold for the importance of the feature is 0.35. The best forecasting results were obtained using the decision tree ensemble and support vector machine methods, however the deep learning neural network model may also be used for invoice payment prediction. This project was also published at the E2TA conference in Kaunas University of Technology
Biotechnologinių procesų adaptyvaus valdymo algoritmų kūrimas ir tyrimai.
No full textBiotechnological processes are among the most complex control objects with all the characteristics that make the control difficult: non-linear relationships between process variables, time-varying dynamic properties and lack of sensors that can provide reliable process monitoring. The need for adaptive control algorithms is high, and they are needed to develop new and improve the already available biotechnological processes in both scientific laboratories and industry. The academic community has proposed various adaptive control methods; however, they tend to be complex, and they also require a lot of time and knowledge to develop and fine-tune. In this doctoral dissertation five easy-to-implement adaptive control algorithms that are based on fuzzy logic, gain scheduling, statistical and polynomial analysis and substrate feeding profile adaptation are presented. The main advantages of the developed adaptation techniques can be summarized as: a simple model structure which relies on the process operator’s level of knowledge and basic mathematical operations; usage of only controller input/output signals for controller tuning parameter adaptation; minimization of the required soft-sensor measurements for the realization of controller tuning parameter adaptation. To evaluate the performance of the developed systems, the proposed models were compared with standard PI controllers with fixed parameters or similar adaptive control techniques
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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