The diploma paper "Instruments for creation of positive company image (image of Dermacol brand)" has 3 goals: The first is evaluation of present image of the brand, the second is methods for creation of positive brand image and the third is proposals for change of the image. I implemented research, where 30 women had answered me to 15 questions dealing with image of Dermacol brand. The result was that image of Dermacol brand is fragmented and confused. Diploma paper explains methods how change image of brand Dermacol and also contains proposals of strategies for change of Dermacol image. At the end is mentioned, if all strategies are implemented in 2009, it will be the first step for change of image. Change of image of Dermacol is expected till 2014.

Detecting regions of change while reducing unimportant changes in multiple outdoor images of the same scene containing fence wires (i.e., a chain-link mesh fence) acquired by a mobile camera from slightly different viewing positions, angles and at different times is a very difficult problem. Regions of change include appearing of new objects and/or disappearing of old objects behind fence wires, breaches in the integrity of fence wires and attached objects in front of fence wires. Unimportant changes are mainly caused by camera movement, considerable background clutter, illumination variation, tiny sizes of fence wires and non-uniform illumination that occurs across fence wires. There are several issues that arise from these kinds of multiple outdoor images. The issues are: (1) parallax (the apparent displacement of an object as seen from two different positions that are not on a line with the object) among objects in the scene, (2) changing in size of same objects as a result of camera movement in forward or backward direction, (3) background clutter of outdoor scenes, (4) thinness of fence wires and (5) significant illumination variation that occurs in outdoor scenes and across fence wires. In this dissertation, an automated change detection method is proposed for these kinds of multiple outdoor images. The change detection method is composed of two distinct modules, which are a module for detecting object presence and/or absence behind fence wires and another module for detecting breaches in the integrity of fence wires and/or attached objects in front of fence wires. The first module consist of five main steps: (1) automated image registration, (2) confidence map image production by the Zitnick and Kanade algorithm, (3) occlusion map image generation, (4) significant or unimportant changes decision by the first hybrid decision-making system and (5) false positives reduction by the template subtraction approach. The second module integrates: (1) the Sobel edge detector combined with an adaptive thresholding technique in extracting edges of fence wires, (2) an area-based measuring in separating small and big objects based on their average areas determined once in the calibration process and (3) the second hybrid decision-making system in classifying objects as significant or unimportant changes. Experimental results demonstrate that the change detection method can identify and indicate approximate locations and possible percentages of significant changes whilst reducing unimportant changes in these kinds of multiple outdoor images. The study has utilized occluded regions in a confidence map image produced by the Zitnick and Kanade algorithm as potential significant changes in the image change detection research. Moreover, the study proves that the use of the Sobel edge detector combined with an adaptive thresholding technique is applicable in extracting edges of outdoor fence wires. In the future, the method could be integrated into patrol robots in order to provide assistance to human guards in protecting outdoor perimeter security. / http://proxy.library.adelaide.edu.au/login?url= http://library.adelaide.edu.au/cgi-bin/Pwebrecon.cgi?BBID=1522689 / Thesis (Ph.D.) -- University of Adelaide, School of Mechanical Engineering, 2010

Context: We identify a material or thing that can be seen and touched in the world as having structures at both coarser and finer levels of scale. Scaling problem presents in a branch of science concerned with the description, prediction understanding of natural phenomena and visual arts. A moon, for instance, may appear as having a roughly round shape is much larger than stars when seen from the earth. In the closer look, the moon is much smaller than the stars. The fact that objects in the world appear in different ways depending upon the scale of observation has important implications when analyzing measured data, such as images, with automatic methods [1]. The type of information we are seeking from a one-dimensional signal or two-dimensional image is only possible when we have the right amount of scale for the structure of an image or signal data. In many modern applications, the right scale need not be obvious at all, and we all need a complete mathematical analysis on this scaling problem. This thesis is shown how a mathematical theory is formulated when data or signal is describing at different scales. Objectives: The subtle patterns deforming in data that can foretell of a scaling problem? The main objectives of this thesis are to address the dynamic scaling pattern problem in computers and study the different methods, described in the latest issue of Science, are designed to identify the patterns in data. Method: The research methodology used in this thesis is the Fractional Fourier Transform. To recognize the pattern for a different level of scale to one or many components, we take the position and size of the object and perform the transform operation in any transform angle and deform the component by changing to another angle which influences the frequency, phase, and magnitude.  Results: We show that manipulation of Fractional Fourier transform can be used as a pattern recognition system. The introduced model has the flexibility to encode patterns to both time and frequency domain. We present a detailed structure of a dynamic pattern scaling problem. Furthermore, we show successful recognition results even though one or many components deformed to different levels using one-dimensional and two-dimensional patterns. Conclusions: The proposed algorithm FrFT has shown some advantages over traditional FFT due to its competitive performance in studying the pattern changes. This research work investigated that simulating the dynamic pattern scaling problem using FrFT. The Fractional Fourier transform does not do the scaling. Manipulating the Fractional Fourier transform can be helpful in perceiving the pattern changes. We cannot control the deformation but changing the parameters allow us to see what is happening in time and frequency domain.

This thesis proposes a Visual Scene Change Detector(VSCD) system which is a system which involves four parts, image retrieval, image registration, image change detection and panorama creation. Two prestudies are conducted in order to find a proposed image registration method and a image retrieval method. The two found methods are then combined with a proposed image registration method and a proposed panorama creation method to form the proposed VSCD. The image retrieval prestudy evaluates a SIFT related method with a bag of words related method and finds the SIFT related method to be the superior method. The image change detection prestudy evaluates 8 different image change detection methods. Result from the image change detection prestudy shows that the methods performance is dependent on the image category and an ensemble method is the least dependent on the category of images. An ensemble method is found to be the best performing method followed by a range filter method and then a Convolutional Neural Network (CNN) method. Using a combination of the 2 image retrieval methods and the 8 image change detection method 16 different VSCD are formed and tested. The final result show that the VSCD comprised of the best methods from the prestudies is the best performing method. / Detta exjobb föreslår ett Visual Scene Change Detector(VSCD) system vilket är ett system som har 4 delar, image retrieval, image registration, image change detection och panorama creation. Två förstudier görs för att hitta en föreslagen image registration metod och en föreslagen panorama creation metod. De två föreslagna delarna kombineras med en föreslagen image registration och en föreslagen panorama creation metod för att utgöra det föreslagna VSCD systemet. Image retrieval förstudien evaluerar en ScaleInvariant Feature Transform (SIFT) relaterad method med en Bag of Words (BoW) relaterad metod och hittar att den SIFT relaterade methoden är bäst. Image change detection förstudie visar att metodernas prestanda är beroende av catagorin av bilder och att en enemble metod är minst beroende av categorin av bilder. Enemble metoden är hittad att vara den bästa presterande metoden följt av en range filter metod och sedan av en CNN metod. Genom att använda de 2 image retrieval metoder kombinerat med de 8 image change detection metoder är 16 st VSCD system skapade och testade. Sista resultatet visar att den VSCD som använder de bästa metoderna från förstudien är den bäst presterande VSCD.

從選舉研究或是形象研究皆顯示，形象的塑造有助於政治人物從政之路的推動與發展，形象對於選民投票行為有決定性的影響力，在在顯示形象對政治人物的重要性不言可喻。 本研究探討連戰從準備參選2000年總統選舉，至2004年二度參加總統大選期間在《中國時報》、《聯合報》及《自由時報》的形象轉變，藉以探索政治人物形象之形塑與呈現、選舉形塑形象與媒體建構形象之差距、政治人物扭轉媒體形象建構之訊息設計與表現、以及探索政治人物形象轉變之效果。 研究發現：政治人物搶佔媒體重要版面，純新聞形式為訊息傳達利基；政治人物選舉失利亦失去政治舞台，媒體曝光率隨之衰退；政治人物媒體形象不等於選票；連戰在政黨形象上失利；政策政見牛肉可為政治人物形象加分。 觀察政治人物形象轉變的歷程是有價值的，將有助於政治人物與民眾瞭解形象轉變在政治傳播活動中產生的影響力。本研究希望透過個案研究方式，瞭解研究對象在媒體上形象塑造與呈現，以及形象轉變相關問題，嘗試解析政治人物運用形象轉變的傳播效果，增進對於形象領域的理解，建立可供參考的方案。 / It shows from both the research of election or image, image creation can help political figures enter politics. Image is indeed an influential factor of voting behavior. The designers and constructors perceive time as equal and important elements. Therefore, the media (newspaper) has such a big influence on political figures in forming the image of public figures. This study examines the image change of Lien Chan during his campaign for presidency from 2000 to 2004 in China Times, United Daily News and The Liberty Times. In order to understand the construction and the presentation of political figures image, and the gap between construction of election image and media image, the press image change of political figures in message design construct and present changing political figures’ image as well. This research found that the political figures’ media image is a long-lasting process which will affect greatly how the voters perceive the candidates. During the period of elections, such a portrait no doubt will affect the voter’s final choice. To investigate the process of political figures’ image change can make figure change more understandable by both politicians and the public. Through this case study, we can understand some issues about image specifically in the field of image change for political figure thus giving some suggestions.

This theses deals with leading change in the specific organization, gynecologycal obstetrician department. The main aim of this theses is to evaluate leading of this change from the manager point of view and also to evaluate its sustainibility in the organization. I was focused on the research of the proces and execution of this specific change. It was the change from the clasiccal model of obsetrics to the respectfull model of obstetrics with using alternative methods and support of the natural birth. I used the qualitative research methods, patricipating observation. I created the summary of the proces of the change and underlined the found problematic parts from the field notes, interview and analysis of social networks. I managed to answer all asked questions and evaluate the process of change and its sustainability. At the end I offered a practical guide of the specific change as a tool for other organizactions. Key words: Obestetrics, maternity center, perinatal care, concepts of leading birth, opinion differences, healthcare management, management of change, image change.