In order to increase the analysis frequency and thereby achieve a better understanding of the kinetics and dynamics of the chemical process without increasing the workload of the already strained analytical laboratory at Cambrex Karlskoga AB, this projects goal was to investigate whether a crude prototype for mobile on-line HPLC-analysis with automatic sampling and dilution could be built based on certain flow-injection analysis techniques. It was possible to achieve dilution with good repeatability even though saturation effects in the filter proved problematic. Separation and dilution of a binary mixture was also successful as proof-ofconcept.

As advances of information technology, engineering consulting firms have gradually digitalized their documents and line-drawing images. Such digital libraries greatly facilitate document retrievals. However, engineers still face a challenging issue: searches and retrievals of line-drawing images in a digital library. With a small number of line-drawing images in a digital library, engineers can browse thumbnails for locating relevant images. As the number of line-drawing images increases, the manual browsing process is time-consuming and frustrated. In response to the need and importance of supporting efficient and effective retrieval of line-drawing images, this thesis aims to develop a line-drawing image retrieval system. Typically, a line-drawing image within an engineering document is associated with surrounding text for description or illustration purpose. Such surrounding text provides important information for automatically indexing the line-drawing image. With extracted indexes (or keywords), retrieval of line-drawing images can be accomplished using a traditional information retrieval technique. Specifically, in this study, we propose a line-drawing image retrieval system based on surrounding text. We develop four models for defining surrounding text boundaries for line-drawing images. Furthermore, two information retrieval techniques (one with and one without query expansion) are implemented and evaluated. According to our empirical evaluations, the surrounding text boundary model with image caption together with three sentences (preceding, image anchoring, and successive sentences) would result in the best retrieval effectiveness, as measured by recall and precision rates.

On-line game has already becomes the young students¡¦s main source of leisure entertainment, however the young students were immersed all sorts of questions which played after on-line produces actually was the modern teacher manages the delicate matter in the classroom. Therefore this research wants to penetrate to the Kaohsiung area senior and junior high school teachers and students the cognition which plays to on-line, including: On-line plays the motive, fords into the degree, positive and negative to the mood and the influence disparity of, understands teachers' and students' cognition disparity present situation. Moreover, also the affiliation machine understanding student plays on-line to play the time self- potency ¡]confidence degree¡^, the autonomy potency and plays the life degree of satisfaction to the real life and on-line. This research picks the questionnaire survey method, executes measures the object teacher of and the student for the Goading area senior and junior high school. The research asked the volume altogether provides 940 to ask the volume, the recycling effective sample number teacher 185 person, the student 588 people, the teacher effectively asked ratio of the volume is 77%, the student effectively asked ratio of the volume is 84%. Asked the volume 10.0 Chinese editions statistics coverall software carries on the analysis by SPSS for the Window. The research discovered the teacher throws the motive regarding the student which in the inlet plays: Is holding controls ¡]Manipulation¡^, the attack ¡]Aggression¡^, is immersed in ¡]Immersion¡^, the flight from reality ¡]Escapism¡^, the achievement feeling ¡]Achievement¡^, the leadership ¡]Lead¡^, the team ¡]Solo/Group¡^ and so on the construction surface agreement degree all high which comes compared to the student. Another teacher in negative direction mood and in negative direction influence cognition, also obviously has a difference with student's view, namely teacher's in negative direction cognition score high which comes compared to the student. Relative, the student in the interpersonal relationship ¡]relationship¡^, the study grows, to on the mood construction surface, all outdoes ornamental hairpin h compared to teacher's agreement degree.

With increasing level of distributed generation¡]DG¡^on radial feeders in electric distribution systems, it could cause over-voltages as well as under-voltages depending on several factors including DG capacity, locations, and the strategy of voltage regulation. This thesis describes the typical and proposed voltage control strategies that could allow the increase of DG interconnection capacity. By using probabilistic load flow technique, voltage regulation performance for cases with different levels of DG outputs, demands and voltage control strategies are presented. They are compared by using a voltage profile improvement index and a risk assessment technique.

<p>This is a Master Thesis at the Computer Science Program at Växjö University. It has been made at BSR in Växjö where the development of a diagnostic tool has been in the running since the beginning of 2008. Previously there was a base developed within the company which I was to use for developing the two layers that I was responsible for – ProtocolLayer and PresentationLayer. In the end it should lead to a XML-based diagnostic tool. The technologies used have been .NET with its language C# and XML. The future purpose for this tool is for it to be used within the company to receive important information about the cars when developing other BSR products.</p><p>This thesis has focused on developing the tool to be working with the car manufacturer VOLVO and its protocols. The idea is that the diagnostic tool in the future could be extended to be working with all possible car manufacturers’ protocols and to enlighten the extensibility the project has been done using the product-line approach.</p>

The internet revolution has led to the demand for high speed, low cost solutions for providing high bandwidth to the consumers. Cable and DSL systems address these requirements through sophisticated analog and digital signal processing schemes. A key element of the analog front end of such systems is the line driver which interfaces with the transmission medium such as co-axial cable or twisted pair. The line driver is an amplifier that provides the necessary output current to drive the low impedance of the line. The main requirements for design are high output swing, high linearity, matched impedance to the line and power efficiency. These requirements are addressed by a class AB amplifier whose output impedance can be controlled through feedback. The property of this topology is that when the gain is unity, the output resistance of the driver is matched to the line resistance. Unity gain is achieved for varying line conditions through a tuning loop consisting of peak-to-peak detectors and differential difference amplifier. The design is fabricated in 0.5 micron AMI CMOS process technology. For line variations from 65 to 170 ohms, the gain is unity with an error of 3 % and the impedance matching error is 20 % at the worst-case. The linearity is better than 50 dB for a 1.2 V peak-to-peak signal over the signal bandwidth from 10 kHz to 5 MHz and the line resitance range from 65 to 160 ohms.

Conventionally, the focus during supplier evaluation has been to assess cost, quality and delivery effectiveness due to their impact on profitability. In recent years, there has been increased emphasis on promoting more sustainable business practices that focus on reducing environmental impact and improve societal well-being, in addition to economic benefits. However, most of the existing supplier evaluation methods in literature as well as those used by leading companies fall short of comprehensively assessing suppliers from a Triple Bottom Line (TBL) perspective. TBL defined as holistically looking at the economic, environmental, and societal aspects of an entity. This paper presents a review and selection of metrics for economic, environmental and societal sustainability evaluation. In addition, this work proposes a methodology for combining the scores into a comprehensive score that can be used to compare two entities performance relative to the TBL.

JavaScript is used on the web together with HTML and CSS, in many cases using frameworks for JavaScript such as jQuery and Backbone.js. This project is comparing the speed and memory allocation of the programming language JavaScript and its two most used frameworks as well as the language on its own. Since JavaScript is not very fast and it has some missing features or features that differ from browser to browser and frameworks solve this problem but at the cost of speed and memory allocation, the aim is to find out how well JavaScript and the two frameworks jQuery and Backbone.js are doing this on Google Chrome Canary. The results varied (mostly) between the implementations and show that the to-do application is a good enough example to use when comparing the results of heap allocation and CPU time of methods. The results where compared with their mean values and using ANOVA. JavaScript was the fastest, but it might not be enough for a developer to completely stop using frameworks. With JavaScript a developer can choose to create a custom framework, or use an existing one based on the results of this project.

The author presents novel algorithms to design unconstrained handwriting recognition systems organized in three parts: In Part One, novel algorithms are presented for processing of Arabic text prior to recognition. Algorithms are described to convert a thinned image of a stroke to a straight line approximation. Novel heuristic algorithms and novel theorems are presented to determine start and end vertices of an off-line image of a stroke. A straight line approximation of an off-line stroke is converted to a one-dimensional representation by a novel algorithm which aims to recover the original sequence of writing. The resulting ordering of the stroke segments is a suitable preprocessed representation for subsequent handwriting recognition algorithms as it helps to segment the stroke. The algorithm was tested against one data set of isolated handwritten characters and another data set of cursive handwriting, each provided by 20 subjects, and has been 91.9% and 91.8% successful for these two data sets, respectively. In Part Two, an entirely novel fuzzy set-sequential machine character recognition system is presented. Fuzzy sequential machines are defined to work as recognizers of handwritten strokes. An algorithm to obtain a deterministic fuzzy sequential machine from a stroke representation, that is capable of recognizing that stroke and its variants, is presented. An algorithm is developed to merge two fuzzy machines into one machine. The learning algorithm is a combination of many described algorithms. The system was tested against isolated handwritten characters provided by 20 subjects resulting in 95.8% recognition rate which is encouraging and shows that the system is highly flexible in dealing with shape and size variations. In Part Three, also an entirely novel text recognition system, capable of recognizing off-line handwritten Arabic cursive text having a high variability is presented. This system is an extension of the above recognition system. Tokens are extracted from a onedimensional representation of a stroke. Fuzzy sequential machines are defined to work as recognizers of tokens. It is shown how to obtain a deterministic fuzzy sequential machine from a token representation that is capable'of recognizing that token and its variants. An algorithm for token learning is presented. The tokens of a stroke are re-combined to meaningful strings of tokens. Algorithms to recognize and learn token strings are described. The. recognition stage uses algorithms of the learning stage. The process of extracting the best set of basic shapes which represent the best set of token strings that constitute an unknown stroke is described. A method is developed to extract lines from pages of handwritten text, arrange main strokes of extracted lines in the same order as they were written, and present secondary strokes to main strokes. Presented secondary strokes are combined with basic shapes to obtain the final characters by formulating and solving assignment problems for this purpose. Some secondary strokes which remain unassigned are individually manipulated. The system was tested against the handwritings of 20 subjects yielding overall subword and character recognition rates of 55.4% and 51.1%, respectively.

Thesis (Ph.D.) -- McMaster University, 1997. / Includes bibliographical references. Also available via World Wide Web.