Technologi JavaServer Faces (JSF) zdefiniowano w dokumencie JSR 314. Kompletn specyfikacj tej technologii mona pobra ze strony internetowej http://jcp.org/aboutJava/communityprocess/final/jsr314/index.html.
JavaServer Faces jest frameworkiem interfejsu uytkownika dziaajcym po stronie serwera i stworzonym z myl o aplikacjach internetowych na bazie Javy. Framework JSF umoliwia midzy innymi:
tworzenie stron internetowych przy uyciu zbioru komponentw interfejsu uytkownika wielokrotnego uytku, zgodnie ze wzorcem projektowym model-widok-kontroler (ang. Model-View-ControllerMVC);
wizanie komponentw z modelem po stronie serwera (dziki temu jest moliwa dwukierunkowa migracja danych aplikacji i interfejsu uytkownika);
obsug nawigacji pomidzy stronami w odpowiedzi na zdarzenia interfejsu uytkownika i interakcje z modelem;
Night Color Image Enhancement via Statistical Law and Retinex
Huaxia Zhao*, Chuangbai Xiao, Hongyu Zhao
College of Computer Science and Technology, Beijing University of Technology, Beijing, China
Abstract - Due to the uneven distribution of light at night, the quality of the night color image is usually unsatisfactory.
To solve this problem, in this paper, we propose a new statistical method based on the retinex. The algorithm analyzes the transformation relationship between the nighttime image and illumination image by the algorithm of
Michael Elad and MSRCR algorithm. Through this transformation, we can accurately and quickly get the illumination image. Then, we can get the resulting image successfully based on the retinex. Our algorithm can greatly enhance the image contrast and brightness, recover image details, eliminate the “halo effect” efficiently, and accelerate the computational speed remarkably.
Experiments on different nighttime images demonstrate the effectiveness of our approach.
nce its clear what questions should be on a form and how they should be presented, we need to provide people with a way to answer them. For this, we turn to input fields: checkboxes, radio buttons, drop-down menus, and text boxes of varying size.
Because selecting which input field is right for a specific interaction is a fundamental interaction design problem, its a bit outside the scope of this book. However, a quick overview of when to use checkboxes, radio buttons, drop-down menus, and text boxes within Web forms is probably in order (see Figure 5.1 and Table 5.1).
The various types of input fields found in Web forms.
Table 5.1: Types of Input Fields
Allow people to enter any number of characters (letters, numerals, or symbols) of their choosing. Text boxes can be single or multiple lines.
Allow people to select exactly one choice from two or more always visible and mutually exclusive options. Because radio buttons are mutually exclusive, they should have a default value selected (more on this later). Its also a good idea to make sure both the radio button and its label can be selected to activate a radio button selection.
I am not interested in my person – rather in other, female, people […]
Gustav Klimt was the motor and the soul of the Viennese Secession. This is why he is allotted the most space in this chapter even though he had already left the Secession in 1905.
No connection to the outside world can disrupt the appeal of Klimt’s portraits, landscapes, allegorical or other representative paintings. For the development of his seductive oeuvre, which has many aspects, one of them being a vehicle for the complete unravelling of the sensuality of the female body, Klimt makes use of oriental colours and motifs, a flat, two-dimensional canvas-space, and strongly stylised images. Among his main inspirations were the art of Japan, ancient Egypt, and Byzantine Ravenna. He had already received a government allowance to study at Vienna’s Kunstgewerbeschule (Artisan’s School) as a 14-year-old teenager, where his talent as a painter and illustrator began to unfold. His first works therefore earned him an early and precocious success. His first important contribution to the world of art was the foundation of the artist group Künstler-Compagnie with his brother Ernst and friend Franz Matsch in 1879.
No two Appreciative Inquiry processes are alike. Each is designed to address a unique strategic challenge faced by the organization or industry Each is designed to optimize participation among stakeholders. This means that the four D’s of AI—discovery, dream, design, and destiny—can take many forms of expression. In this chapter, we provide a further explanation of each of the four D’s along with an example of how the AI process has been carried out in one organization.
The core discovery task is disclosing positive capacity. AI invites systemwide dialogue and learning through a process of appreciative interviewing. When asked how many people should be interviewed or who should do the interviews, we increasingly say“everyone”because, in the process, people reclaim their ability to admire, be surprised, be inspired, and appreciate the best in others and in their organization.
At the heart of discovery is the appreciative interview. The uniqueness and power of an AI interview stem from its fundamentally affirmative focus. What distinguishes AI at this phase is that every question is positive. During appreciative interviews, people uncover what gives life to their organization, department, or community when at its best. They discover personal and organizational highpoints, what people value, and how they hope and wish to enhance their organization’s social, economic, and environmental vitality.