Evolutionary Clustering in Indonesian Ethnic Textile Motifs \ud

The wide varieties of Indonesian textiles could reflect the varsity that has been living with the diversity of Indonesian ethnic groups. Meme as an evolutionary modeling technique promises some conjectures to capture the innovative process of the cultural objects production in the particular collective patterns acquainted can be regarded as fitness in the large evolutionary landscape of cultural life. We have presented the correlations between memeplexes that is transformed into distances has generated the phylomemetic tree, both among some samples from Indonesian textile handicrafts and batik, the designs that have been living through generations with Javanese people, the largest ethnic group in Indonesian archipelago. The memeplexes is extracted from the geometrical shape, i.e.: fractal dimensions and the histogram analysis of the employed colorization. We draw some interesting findings from the tree and open the future anthropological development that might catch the attention further observation

Smartbook: Semantics Inside

This paper presents a vision for the future of the e-books which entails further development of technologies that will facilitate the creation and use of a new generation of "smart" books: e-books that are evolving, highly interactive, customisable, adaptable, intelligent, and furnished with a rich set of collaborative authoring and reading support services. The proposed set of tools will be integrated into an intelligent framework for collaborative book authoring and experiencing called SmartBook. The paper promotes the idea that the semantic technologies, intensively developed recently in connection with the Semantic Web initiative, can be incorporated in the book and become the key factor of making it "smarter"

Classification Modeling for Malaysian Blooming Flower Images Using Neural Networks

Image processing is a rapidly growing research area of computer science and remains as a challenging problem within the computer vision fields. For the classification of flower images, the problem is mainly due to the huge similarities in terms of colour and texture. The appearance of the image itself such as variation of lights due to different lighting condition, shadow effect on the object’s surface, size, shape, rotation and position, background clutter, states of blooming or budding may affect the utilized classification techniques. This study aims to develop a classification model for Malaysian blooming flowers using neural network with the back propagation algorithms. The flower image is extracted through Region of Interest (ROI) in which texture and colour are emphasized in this study. In this research, a total of 960 images were extracted from 16 types of flowers. Each ROI was represented by three colour attributes (Hue, Saturation, and Value) and four textures attribute (Contrast, Correlation, Energy and Homogeneity). In training and testing phases, experiments were carried out to observe the classification performance of Neural Networks with duplication of difficult pattern to learn (referred to as DOUBLE) as this could possibly explain as to why some flower images were difficult to learn by classifiers. Results show that the overall performance of Neural Network with DOUBLE is 96.3% while actual data set is 68.3%, and the accuracy obtained from Logistic Regression with actual data set is 60.5%. The Decision Tree classification results indicate that the highest performance obtained by Chi-Squared Automatic Interaction Detection(CHAID) and Exhaustive CHAID (EX-CHAID) is merely 42% with DOUBLE. The findings from this study indicate that Neural Network with DOUBLE data set produces highest performance compared to Logistic Regression and Decision Tree. Therefore, NN has been potential in building Malaysian blooming flower model. Future studies can be focused on increasing the sample size and ROI thus may lead to a higher percentage of accuracy. Nevertheless, the developed flower model can be used as part of the Malaysian Blooming Flower recognition system in the future where the colours and texture are needed in the flower identification process

Anticipating the Internet: how the predictions of Paul Otlet, H.G. Wells and Vannevar Bush shaped the Digital Information Age

This is an historical research project that investigates predictions of future information technology made by Paul Otlet, H.G. Wells and Vannevar Bush, specifically those described in the Mundaneum, World Brain and Memex respectively. It is carried out by means of an extended review of the relevant Library and Information Science literature and aims to determine the reasons for their predictions, the relationship (if any) between them, and their influence upon the development of the modern-day Internet. After investigating the work of each figure in turn, further investigation is undertaken through a comparative analysis. It concludes that, although there are differences in approach and emphasis between the predictions, each of them was made in reaction to a common problem – the proliferation of published information – and each of them aimed to solve this problem by applying scientific means to improve the free flow of information throughout society, thus improving it for the benefit of all. Furthermore, their ideas stemmed from the same intellectual traditions of positivism and utopianism, and were expressed through technology, that although advanced for its time, was rapidly superseded by the rise of digital computing during the second half of the twentieth century. Finally, although the technology they used to express their predictions is now obsolete, and had little direct influence on the practical workings of the contemporary Internet, the works, concepts and ideas of Otlet, Wells and Bush remain highly relevant in today’s ever-increasingly Digital Age

Literary texts in an electronic age: Scholarly implications and library services [papers presented at the 1994 Clinic on Library applications of Data Processing, April 10-12, 1994]

Authors and readers in an age of electronic texts / Jay David Bolter -- Electronic texts in the humanities : a coming of age / Susan Hockey -- The Text Encoding Initiative : electronic text markup for research / C.M. Sperberg-McQueen -- Electronic texts and multimedia in the academic library : a view from the front line / Anita K. Lowry -- Humanizing information technology : cultural evolution and the institutionalization of electronic text processing / Mark Tyler Day -- Cohabiting with copyright on the nets / Mary Brandt Jensen -- The role of the scholarly publisher in an electronic environment / Lorrie LeJeune -- The feasibility of wide-area textual analysis systems in libraries : a practical analysis / John Price-Wilkin -- The scholar and his library in the computer age / James W. Marchand -- The challenges of electronic texts in the library : bibliographic control and access / Rebecca S. Guenther -- Durkheim???s imperative : the role of humanities faculty in the information technologies revolution / Robert Alun Jones -- The materiality of the book : another turn of the screw / Terry Belanger.published or submitted for publicatio