CHANDRA AND SPITZER IMAGING OF THE INFRARED CLUSTER IN NGC 2071

We present results of a sensitive Chandra X-ray observation and Spitzer mid-infrared (mid-IR) observations of the IR cluster lying north of the NGC 2071 reflection nebula in the Orion B molecular cloud. We focus on the dense cluster core known as NGC 2071-IR, which contains at least nine IR sources within a 40 `` x 40 `` region. This region shows clear signs of active star formation including powerful molecular outflows, Herbig-Haro objects, and both OH and H(2)O masers. We use Spitzer Infrared Array Camera (IRAC) images to aid in X-ray source identification and to determine young stellar object (YSO) classes using mid-IR colors. Spitzer IRAC colors show that the luminous source IRS 1 is a class I protostar. IRS 1 is believed to be driving a powerful bipolar molecular outflow and may be an embedded B-type star or its progenitor. Its X-ray spectrum reveals a fluorescent Fe emission line at 6.4 keV, arising in cold material near the protostar. The line is present even in the absence of large flares, raising questions about the nature of the ionizing mechanism responsible for producing the 6.4 keV fluorescent line. Chandra also detects X-ray sources at or near the positions of IRS 2, IRS 3, IRS 4, and IRS 6 and a variable X-ray source coincident with the radio source VLA 1, located just 2 `` north of IRS 1. No IR data are yet available to determine a YSO classification for VLA 1, but its high X-ray absorption shows that it is even more deeply embedded than IRS 1, suggesting that it could be an even younger, less-evolved protostar.

Color inheritance and pigment characterization of red (wild-type), greenish-brown, and green strains of Gracilaria birdiae (Gracilariales, Rhodophyta)

Species of Gracilaria are some of the most useful algae in the world for the production of agar. As a consequence of its economic importance, the genus has been the subject of many studies worldwide. Color variants of Gracilaria birdiae have been found in the natural population on the Brazilian coast, and they have also been isolated from plants cultivated in laboratory. These findings raised new questions regarding intraspecific variation and the prospects of cultivating such variants for their agar production. Therefore, this work aimed to determine the mode of color inheritance for two G. birdiae strains: a greenish-brown strain (gb) found in a natural population and a green strain (gr) which had arisen as a spontaneous mutation in a red plant cultured in the laboratory. The pigment contents of these strains, as well as the red wildtype (rd), were also characterized. Crosses between female and male plants of the same color (rd, gr, or gb) and between different colors were performed. Crosses between plants of the same color showed tetrasporophytic and gametophytic descendents of the parental color. Recessive nuclear inheritance was found in the greenish-brown strain, and cytoplasmic maternal inheritance was found in the green strain; both had lower phycoerythrin and higher concentrations of allophycocyanin and phycocyanin than the wild-type. Chlorophyll a contents were similar among all strains. Taken together, our results contribute to knowledge about the variability of this important red algae. In addition, since greenish-brown and green strains showed stability of color, both could be selected and tested in experimental sea cultivation to evaluate if mutants have advantageous performance when compared with red strain.

Image indexing and retrieval using an ART-2A neural network architecture

Traditional content-based image retrieval (CBIR) systems use low-level features such as colors, shapes, and textures of images. Although, users make queries based on semantics, which are not easily related to such low-level characteristics. Recent works on CBIR confirm that researchers have been trying to map visual low-level characteristics and high-level semantics. The relation between low-level characteristics and image textual information has motivated this article which proposes a model for automatic classification and categorization of words associated to images. This proposal considers a self-organizing neural network architecture, which classifies textual information without previous learning. Experimental results compare the performance results of the text-based approach to an image retrieval system based on low-level features. (c) 2008 Wiley Periodicals, Inc.

Entropy-Based Approach to Analyze and Classify Mineral Aggregates

This paper presents an automatic method to detect and classify weathered aggregates by assessing changes of colors and textures. The method allows the extraction of aggregate features from images and the automatic classification of them based on surface characteristics. The concept of entropy is used to extract features from digital images. An analysis of the use of this concept is presented and two classification approaches, based on neural networks architectures, are proposed. The classification performance of the proposed approaches is compared to the results obtained by other algorithms (commonly considered for classification purposes). The obtained results confirm that the presented method strongly supports the detection of weathered aggregates.

EPR in the Characterization of the Shade Effect on Translucence, Remaining Free Radicals, and Polymerization Depth of Commercially Available Resin Composites

The aim of this study was to assess the relation between the number of free radicals generated and the polymerization depth in two different commercial brands of resin composites with different colors and translucence. Electron paramagnetic resonance quantified the radical populations through relative intensity (I (r)) of free radicals generated, and radical decay was monitored. Sample translucence and the classical polymerization depth were measured. The analysis indicated that resin with more color pigments (MA4, I (r) = 0.73 a.u) or more opacity components (ODA2, I (r) = 0.84 a.u) generated smaller populations of free radicals and have the lower polymerization depth than clearer (M, I (r) = 1.20 a.u and MA2, I (r) = 1.02) or more translucent (OEA2, I (r) = 1.00 a.u) composites for the same light-curing time. It seems that irradiation doses have to be adequate to more colored and less translucent resins.

Enhanced visualization of histological samples with an adjustable RGB contrast system with application for tissue used in photodynamic therapy

The analysis of histological sections has long been a valuable tool in the pathological studies. The interpretation of tissue conditions, however, relies directly on visual evaluation of tissue slides, which may be difficult to interpret because of poor contrast or poor color differentiation. The Chromatic Contrast Visualization System (CCV) combines an optical microscope with electronically controlled light-emitting diodes (LEDs) in order to generate adjustable intensities of RGB channels for sample illumination. While most image enhancement techniques rely on software post-processing of an image acquired under standard illumination conditions, CCV produces real-time variations in the color composition of the light source itself. The possibility of covering the entire RGB chromatic range, combined with the optical properties of the different tissues, allows for a substantial enhancement in image details. Traditional image acquisition methods do not exploit these visual enhancements which results in poorer visual distinction among tissue structures. Photodynamic therapy (PDT) procedures are of increasing interest in the treatment of several forms of cancer. This study uses histological slides of rat liver samples that were induced to necrosis after being exposed to PDT. Results show that visualization of tissue structures could be improved by changing colors and intensities of the microscope light source. PDT-necrosed tissue samples are better differentiated when illuminated with different color wavelengths, leading to an improved differentiation of cells in the necrosis area. Due to the potential benefits it can bring to interpretation and diagnosis, further research in this field could make CCV an attractive technique for medical applications.

Zn(0.97)M(0.03)O (M = Co, Fe, and V) pigments: thermal, structural, and optical characterization

Zinc oxide is a widely used white inorganic pigment. Transition metal ions are used as chromophores and originate the ceramic pigments group. In this context, ZnO particles doped with Co, Fe, and V were synthesized by the polymeric precursors method, Pechini method. Differential scanning calorimetry (DSC) and thermogravimetry (TG) techniques were used to accurately characterize the distinct thermal events occurring during synthesis. The TG and DSC results revealed a series of decomposition temperatures due to different exothermal events, which were identified as H(2)O elimination, organic compounds degradation and phase formation. The samples were structurally characterized by X-Ray diffractometry revealing the formation of single phase, corresponding to the crystalline matrix of ZnO. The samples were optically characterized by diffuse reflectance measurements and colorimetric coordinates L*, a*, b* were calculated for the pigment powders. The pigment powders presented a variety of colors ranging from white (ZnO), green (Zn(0.97)Co(0.03)O), yellow (Zn(0.97)Fe(0.03)O), and beige (Zn(0.97)V(0.03)O).

Asymmetric Ramsey Properties of Random Graphs Involving Cliques

Consider the following problem: Forgiven graphs G and F(1),..., F(k), find a coloring of the edges of G with k colors such that G does not contain F; in color i. Rodl and Rucinski studied this problem for the random graph G,,, in the symmetric case when k is fixed and F(1) = ... = F(k) = F. They proved that such a coloring exists asymptotically almost surely (a.a.s.) provided that p <= bn(-beta) for some constants b = b(F,k) and beta = beta(F). This result is essentially best possible because for p >= Bn(-beta), where B = B(F, k) is a large constant, such an edge-coloring does not exist. Kohayakawa and Kreuter conjectured a threshold function n(-beta(F1,..., Fk)) for arbitrary F(1), ..., F(k). In this article we address the case when F(1),..., F(k) are cliques of different sizes and propose an algorithm that a.a.s. finds a valid k-edge-coloring of G(n,p) with p <= bn(-beta) for some constant b = b(F(1),..., F(k)), where beta = beta(F(1),..., F(k)) as conjectured. With a few exceptions, this algorithm also works in the general symmetric case. We also show that there exists a constant B = B(F,,..., Fk) such that for p >= Bn(-beta) the random graph G(n,p) a.a.s. does not have a valid k-edge-coloring provided the so-called KLR-conjecture holds. (C) 2008 Wiley Periodicals, Inc. Random Struct. Alg., 34, 419-453, 2009

Grafisk profilering för butiksmiljö : Creating a visual identity for a store

A new visual identity for the ski store Alpingaraget in Stockholm has been proposed as the result of this thesis. Theproposal includes a new logotype, various printed matters, design planning of the store, interior design, signs and otherapplications.The theory section is within the field of graphic profiling and with some focus on profiling in stores.A clear visual identity is important for a company because what the company communicates internally and externallyshould be kept as consistent as possible. This is especially important nowadays when more and more similar products andstores are available. This means that the visual identity becomes part of the competition with other products and stores.The base elements in a visual identity are logotype, colors and typograpy. Using these elements according to rules andtemplates makes a consistent visual profile.

Utvärdering av kvalité och dess behov inom förprovtryck

It always has been a need for the abiltiy to create color proofs. When an error occurs late in the production process, itis allways complicated and difficult to correct the error. In this project, digital proofs been made and discussions havebeen held with several people in the printing industry, in order to examine how well excisting digital proofs, meet thedemand of the market. And how close the digital proofs can come to the actual printsheat from the press. The study hasbeen shown that the one thing that has had the most influence on the outcome for the quality of a digital proof, is theprintshop operator’s knowledge about color management and proofing systems. Many advertising agencies in the graphicindustry think rasterised proofs are not necessesary and expensive. Therefor they prefer a cheaper alternative, whichdoesn’t show colors as well as the rasterised proof, but well enough to be content with it. There are a good awarenessconcerning lack of communication between printshop, reproduction and advertising agency. Advertising agencies thinkthat printshop rarely listen to what they have to say, while the printshop think that the advertising agency doesn’t understandwhat they are trying to tell them. The outcome of the printed proofs in this study can’t be representive for howgood digital proofs are conducted in regular basis in the industry. The divergence between the print press sheat and thedigital proof that was made was bigger than expected. This shows that implementation of ICC profiles in a color managementflow, not alone is the answer to making perfect digital proofs. There are so many other issues that has to be examined,like color management software, measure tools and correct color management module. In order to make a perfectproof, you have to look at the whole picture. In the end, the human eye finally has the last word on wheather theproof is good or not.

Färgstyrning av kontorsutrustning

Color management has become more common now than ever in the graphic trade. Calibration andcharcterization are words that are mentioned very often when it comes to controlling colors andwhen you want a printed picture to look the same as an original photograph. The problem is thatthere are not so many people that has the knowlegde about this subject. Even if a printer supportscolor management it is not sure that the result is going to be satisfied and that a printed picture isgoing to look the same as the original.The printers which were used were Hp DeskJet 970 Cxi, Xerox Docu Color 12 and AgfaChromapress 50i. The theory of color, colour management and the equipment which were usedare described in the first stage. The second stage describes calibration and characterization ofmonitors, scanners and printers. Finally the result of created ICC-profiles is set by visual comparisionof a photographs original colours and a scanned and printed photograph.The results of calibration and characterization were varying a lot. Agfa Chromapress 50i was theonly printer which could produce a succesful calibration. Agfa Chromapress 50i and XeroxDocuColor 12 gave the best results when comparing original photographs with printed pictures ifthey were separated with ICC-profiles. ICC-profiles created for Hp DeskJet 970 Cxi achievedundesirable effects. This was the only printer that gave a bad result both with and without ICCprofiles.The reason for this miserable result can depend on the printers unability to fully supportcolor management.

Omslagstrender - en studie av vad som höjer uppmärksamhetsvärdet hos tidskrifter

Through interviews, a questionnaire survey and an in­depth analysis of the Swedish magazines Veckorevyn and Magazine Café has a number of parameters been made visible. It was difficult to obtain an unambiguous result when the journal's target audience is crucial for the cover design. Nevertheless, we can generally say that the transparent varnish of covers, PMS colors and enclosing the journal in plastic do not increase the attention value, as this occurs in many magazines. Due to today's tough competition among journals, we believe that they will need to niche themselves much harder to survive. We also believe that the new, big trend is that more covers will become more plain and stylistically pure, with one big communicating image and fewer coverlines, as many covers were designed during the 1940s.

Color Segmentation using LVQ-Learning Vector Quantization

This thesis aims to present a color segmentation approach for traffic sign recognition based on LVQ neural networks. The RGB images were converted into HSV color space, and segmented using LVQ depending on the hue and saturation values of each pixel in the HSV color space. LVQ neural network was used to segment red, blue and yellow colors on the road and traffic signs to detect and recognize them. LVQ was effectively applied to 536 sampled images taken from different countries in different conditions with 89% accuracy and the execution time of each image among 31 images was calculated in between 0.726sec to 0.844sec. The method was tested in different environmental conditions and LVQ showed its capacity to reasonably segment color despite remarkable illumination differences. The results showed high robustness.

Visuell Perception : En studie av visuella faktorer kring ett musikaliskt framträdande

The essay investigates the visual element as seen by the audience and artist to be of greatest importance to a musicalperformance. The study was conducted in the form of a field work which included doing interviews with artists, surveys of the audience and interpretive observations of live performance. The fieldwork was conducted in three different environments in which I found myself on the spot and performed the various stages included in the field work. It was done to create a surface that could be used in an essay, and through that use this material to compare and analyze my results and in the end be able to answer my questions. I started from eight different factors which all could beexperienced visually on stage. The factors were light / colors, costumes, props, effects, stage presence, attitude / image, nervousness and dance / body language. Those factors would then be examined in the various musical performances and to be answered by the audience and performers which of those factors they considered to be of great importance or small importance when it comes to visual perception in a musical context. The result was a clear statement where two factors were considered to be most crucial for a musical performance, and a clear statement in which two factors were considered by the majority to be less important. The results demonstrate a common understanding what the artist and the audience thinks is important. A result that can act as a template for what an artist should think about regarding the visual elements before an performance. My theory is my assumption that the visual elements of musical performances can play an important or decisive role, an assumption that was strengthened by my empirical experiences at a concert visit. I wanted in this essay explore and give a clear picture of what it is that artists and audiences consider to be visually crucial for a musical context

Colorizing Grey Scale Images

The purpose of this thesis is to develop a working methodology to color a grey scale image. This thesis is based on approach of using a colored reference image. Coloring grey scale images has no exact solution till date and all available methods are based on approximation. This technique of using a color reference image for approximating color information in grey scale image is among most modern techniques.Method developed here in this paper is better than existing methods of approximation of color information addition in grey scale images in brightness, sharpness, color shade gradients and distribution of colors over objects.Color and grey scale images are analyzed for statistical and textural features. This analysis is done only on basis of luminance value in images. These features are then segmented and segments of color and grey scale images are mapped on basis of distances of segments from origin. Then chromatic values are transferred between these matched segments from color image to grey scale image.Technique proposed in this paper uses better mechanism of mapping clusters and mapping colors between segments, resulting in notable improvement in existing techniques in this category.