Multi Layer Spatial Analysis for Demersal Shrimp Fishery and Sst Warming in the Semarang Coastal Waters

Semarang coastal waters is part of coastal zone at the north coast of Java that is still has their characters for coastal demersal fishery. It was known for a long time before, that Semarang coastal water is a very good fishing ground especially for some valuable demersal species, such as white shrimp (Penaeus merguiensis), (Metapeneus.sp); flat fishes (3 species); Gastropods : Tiger snails (Babylonia.sp) and Bivalves : Anadara.sp. Some study that had been developed earlier in transforming from individual station data at coastal and seas, into visual-spatial layer in order to give more accurate spatial analysis of multiple parameters in the invisible coastal waters. This study present further development in the analysis of multi-layer spatial analysis. The samples of demersal coastal shrimp fishery and its closely related ecosystem parameters (depth; sediment; salinity) were taken randomly to represent the area of Semarang coastal zone. Field ecosystem and fishery samples data then processed using spatial method known as Kriging, and overlaid on a Landsat_TM satellite data. The study develops especially a multi layer of the field variables approach in order to analyze possible spatial multiple correlations between ecosystem parameter, such as type of bottom sediment, depth, and salinity to spatial distribution of shrimps spatial distribution as to represent demersal coastal fishery. This benthic fishery resources is regarded as the most vulnerable fishery due it\u27s sensitive character ie. sedentary and limited movement, is a good example to be used to monitor the impact of the environmental changes such global warming and climate change, such as seawater temperature anomaly in Semarang Coastal water (was found 1.39 ºC in March 1983) for the adaptation strategy in the future coastal resources management

Multi Layer Analysis

This thesis presents a new methodology to analyze one-dimensional signals trough a new approach called Multi Layer Analysis, for short MLA. It also provides some new insights on the relationship between one-dimensional signals processed by MLA and tree kernels, test of randomness and signal processing techniques. The MLA approach has a wide range of application to the fields of pattern discovery and matching, computational biology and many other areas of computer science and signal processing. This thesis includes also some applications of this approach to real problems in biology and seismology

Impact of Sodium Layer variations on the performance of the E-ELT MCAO module

Multi-Conjugate Adaptive Optics systems based on sodium Laser Guide Stars may exploit Natural Guide Stars to solve intrinsic limitations of artificial beacons (tip-tilt indetermination and anisoplanatism) and to mitigate the impact of the sodium layer structure and variability. The sodium layer may also have transverse structures leading to differential effects among Laser Guide Stars. Starting from the analysis of the input perturbations related to the Sodium Layer variability, modeled directly on measured sodium layer profiles, we analyze, through a simplified end-to-end simulation code, the impact of the low/medium orders induced on global performance of the European Extremely Large Telescope Multi-Conjugate Adaptive Optics module MAORY.Comment: 7 pages, 5 figures, SPIE conference Proceedin

Multi-layer Unmanned Aerial Vehicle Networks: Modeling and Performance Analysis

Since various types of unmanned aerial vehicles (UAVs) with different hardware capabilities are introduced, we establish a foundation for the multi-layer aerial network (MAN). First, the MAN is modeled as K layer ANs, and each layer has UAVs with different densities, floating altitudes, and transmission power. To make the framework applicable for various scenarios in MAN, we consider the transmitter- and the receiver-oriented node association rules as well as the air-to-ground and air-to-air channel models, which form line of sight links with a location-dependent probability. We then newly analyze the association probability, the main link distance distribution, successful transmission probability (STP), and area spectral efficiency (ASE) of MAN. The upper bounds of the optimal densities that maximize STP and ASE are also provided. Finally, in the numerical results, we show the optimal UAV densities of an AN that maximize the ASE and the STP decrease with the altitude of the network. We also show that when the total UAV density is fixed for two layer AN, the use of single layer in higher(lower) altitude only for all UAVs can achieve better performance for low(high) total density case, otherwise, distributing UAVs in two layers, i.e., MAN, achieves better performance

Multi-layer configuration for the cathode electrode of polymer electrolyte fuel cell

This paper conducts a one-dimensional theoretical study on the electrochemical phenomenon in the dual-layer cathode electrode of polymer electrolyte fuel cells (PEFCs) with varying sub-layer thicknesses, and further extends the analysis to a triple-layer configuration. We obtain the explicit solution for a general dual-layer configuration with different layer thicknesses. Distributions of the key quantities such as the local reaction current and electrolyte overpotential are exhibited at different ratios of the ionic conductivities, electrochemical kinetics, and layer thicknesses. Based on the dual-layer approach, we further derive the explicit solutions for a triple-layer electrode. Sub-layer performances are plotted and compared. The results indicate that the layer adjacent to the electrolyte membrane may contribute a major part of the electrode faradic current production. The theoretical analysis presented in this paper can be applied to assist electrode development through complicated multi-layer configuration for cost-effective high performance electrodes. © 2010 Elsevier Ltd