Systems security assurance as (micro) publishing

Markup technologies are very general purpose, as reflects their generality of conception. They become interesting as well as useful as they are applied to accomplish goals in the real world. Since principles of generic declarative markup were first applied to accomplishing publishing-related goals in information management, design and application, 25 or 40 years ago, they have repeatedly demonstrated both their generality – they really do work – and their demand for applicability. Get one thing wrong, or leave it out, and the effort sits on a shelf. Design and deploy it carefully and sensitively, and even an inexpensive initiative can pay dividends for years. These systems become sustainable in the context of the sustainable operations of which they are a part. Decades of experience have shown us how to use declarative markup to sustain publishing operations. Now we have to deal with similar problems of information description, management, reuse across contexts, referencing, tracing, and authentication, only at even larger scales than before, both in size and complexity. This paper proposes some lessons and insights we can bring from our experience with publishing technologies, and suggests how they might be applicable in the growing domain of systems security assurance.

FORMS OF ABSTRACTION OF THE VALVES CONFIGURATION WHEN MODELING FLOWS IN THE TRAINING MODEL

Approaches to information description of various types of valves configuration are considered when modeling process flows in training models of computer simulator complexes.

Research on the Effects of Information Description on Crowdfunding Success within a Sustainable Economy—The Perspective of Information Communication

Crowdfunding has been widely used by small and micro enterprises, which can raise funds through launching a project in crowdfunding platform. It is also beneficial to sustainable financing. What is more, the success of crowdfunding projects facilitates the sustainable development of those growing enterprises. In this study, from the perspective of information communication and based on information asymmetry and signaling theory, we identify three dimensions of information description, including information quantity (word count, picture count and video count), information attitude (as measured by comment), and information quality (readability and update). We empirically examine their direct effects on crowdfunding success and the moderating effect of information attitude using binary logistic regression. Data (N = 7207) is collected from Kickstarter, a popular crowdfunding platform. The results reveal that when considering these three dimensions of information description together, word count is associated with crowdfunding success in an inverted-U shape. Picture count, video count, comment, and update have positive effects on crowdfunding success. In contrast, readability is negatively related to crowdfunding success. In addition, we find that comment negatively moderates the effect of picture count on crowdfunding success. These findings show the significance of information description on crowdfunding success, bringing theoretical and practical insights for project creators.

Digital Image Processing Using Machine Learning

Main aim of Digital Image Processing Using Machine Learning is to extract important data from images. Using this extracted information description, interpretation and understanding of the scene can be provided by the machine. Main point of image processing is to modify images in to desired manner. Image processing is called as altering and analyzing pictorial information of images. In our daily life we come across different type of image processing best example of image processing in our daily life is our brain sensing lot of images when we see images with eyes and processing is done is very less time.