Photon Emission Microscopy of HfO2 ReRAM Cells

In this paper, we discuss the use of spontaneous Photon Emission Microscopy (PEM) for observing filaments formed in HfO2 Resistive Random Access Memory (ReRAM) cells. A CCD and an InGaAs camera can be used to quickly observe photon emission in both reverse (reset) and forward (set) bias conditions. An electric field model and a uniform Poisson spatial distribution model are used to explain the intensity and location of the experimental data. Single filament fluctuations and multiple filaments are also observed for the first time.

Attitude Perception of Badminton Players Based on Mobile Edge Computing

In order to help badminton players make reasonable training plans and realize a comprehensive grasp of the training process, this paper mainly recognizes and perceives the posture of badminton athletes based on the method of moving edge calculation. Firstly, from the perspective of moving edge motion analysis, considering the vector field formed by moving edge vector as movable spatial distribution information, the spatial distribution model of moving edge field is realized. Secondly, while athletes interact with the computer through limb movement, the overall posture of athletes is divided into several parts, and each part is perceived separately. Finally, in the human posture evaluation module, an algorithm for human posture evaluation in the image pixel plane is proposed. Through comparative experiments, the motion recognition algorithm can effectively recognize the three typical swing movements of badminton players in the video and improve the overall performance of the existing recognition algorithms.

Computing spatial distribution of tube and louvre luminaires efficiency from their description

Lighting computation requires photometry data that are not always available. Lacking photometry data limits lighting study to in situ measurement, luminaire measurement or use of similar luminaire photometry. This is not satisfactory, neither for convenience nor cost and accuracy reasons. Fitting the spatial distribution of luminaire efficiency to their description would allow lighting computations in this kind of situation. An efficiency spatial distribution model is proposed for grid and louvre tube luminaires, taking optic width, louvre between-axis and gloss as parameters. It is constructed over 12 measured efficiency spatial distributions and the corresponding luminaire descriptors. Even if optic and louvre gloss cannot be differentiated, this model fits to measurements and allows for computed irradiance close to experiments within −5% to +19%. In addition, luminaire descriptors can freely vary inside their experimental range and even be extrapolated.

Habitat preference and spatial distribution model of threatened species Saurauia microphylla in Mt. Slamet, Central Java, Indonesia

Helmanto H, Nisyawati, Robiansyah I, Zulkarnaen RN, Fikriyya N. 2020. Habitat preference and spatial distribution model of threatened species Saurauia microphylla in Mt. Slamet, Central Java, Indonesia. Biodiversitas 21: 2946-2954. Saurauia microphylla de Vriese has the potentials for medicinal uses, yet it is listed in the IUCN Red List under Vulnerable status. The natural population of this species is only found in highlands one of which is in Mount Slamet, Central Java, Indonesia. This study aims to determine the population structure, habitat preference and predicted spatial distribution of S. microphylla in the Mount Slamet area. The method used was purposive sampling by establishing 103 observation plots with size of 20x20 m2 for each plot. The research parameters recorded were abiotic variables and biotic associations. Data were analyzed using Principal Component Analysis (PCA) to determine the most influencing environmental factors on the presence of S. microphylla. Species association of S. microphylla was analyzed using the Jaccard index equation. Spatial distribution model was analyzed using Maxent (Maximum Entropy) software. The results showed that S. microphylla populations were found in highland forest areas with elevations of 1689-2265 m above sea level, slope of 3-40°, temperature of 16°-26°C, air humidity of 49.3-90%, soil pH 5.8-7, soil moisture 5-70% and canopy cover of 0-92%. Our analyses revealed that elevation is the most influential factor in the presence of S. microphylla. There are 20 tree species which found around S. microphylla habitat with 4 species have significant association with the species. The spatial distribution model showed that S. microphylla spread across all the slopes of Mount Slamet with the southwestern slope was predicted had the most extensive habitat suitability for the species and become smaller to the north, east, and south slopes.