Power positron beams for High Energy Density physics
In this talk I will discuss the modern theoretical developments and review today situation in power positron beams research, including physical and technical aspects of generation and absorption of the positron beams with GeV particle energy and about (0.01–0.1) A beam current, positive “charge pumping” process, with emphasis on suggestions for some HED (High Energy Density) physics applications: (1) macroparticle accelerator, (2) proton and heavy ion intermediate energy accelerator and (3) soft(about few MeV energy range) gaser. I will also describe the physics and conceptual design of the machines (1)–(3).
Power positron beams as a new branch of beaming research
Some of the most desirable problems in modern physics are impossible to solve at the current stage of technical and technological development. So, the main role today should belong to theoretical research aimed at new, innovative approaches and solutions. Theory must answer the question on whether such problems have a potential solution, and if so, what experimental directions need to be developed first, and to what extent.
Multi-directional spatial error concealment using adaptive edge thresholding
In this paper, a new method for spatial concealment of missing areas in image and video signals transmitted over error prone infrastructures, is presented. The concealment process is performed in three steps. First, a novel technique is used to estimate the significant edges of missing areas after performing a directional edge analysis on the correctly received neighboring blocks of the missing areas. This technique uses the moments of the neighboring edge magnitudes to obtain an adaptive threshold for rejecting non-significant directions. Second, based on the predicted significant directions, an approximation is obtained for each missing pixel. Finally, for each pixel, we compute a weighted average by using two edge correspondence measures as weighting factors. Moreover, the adaptive thresholding of the edges let us include as many edges as necessary in the interpolation process. Experiments show that the proposed method outperforms the previous state of the art methods based on both subjective and objective measures.