Lamen

Abstract: The increased intelligence on network devices opened the horizon for a new computation approach, i.e., Edge Computing, to push computations away from the network's core. In this work, we present LAMEN, an initial attempt to use end devices at the edge to execute complex applications instead of offloading to the cloud, e.g., Augmented Reality. Unlike crowd-sensing where end devices are used as data collectors wasting their bandwidth in raw data transmission for cloud processing. LAMEN proposes a hierarchical architecture to group devices by location. Each group elects a head node, i.e., mediator, to control service delivery and execution. Within a group, mediators name and organize devices in terms of resources they hold. This enables efficiently locating suitable resources per application. We envision pushing application's execution to end devices to hold the following benefits: (a) avoid sharing user's data with cloud to maintain their privacy (b) minimize bandwidth misuse through local processing instead of raw data transmission to cloud and (c) introduce mediators as local cloud for composing homogenous large resources out of heterogeneous end devices and anonymizing user's identity. Our evaluation shows LAMEN to enhance resource lookup by 70% compared to similar approaches, i.e., Chord, and speeds up application distribution 500x than regular application download per device. In addition to, scalability in handling large networks up to 8k device per group.

Abstract: The invention discloses a reflected near-field Lamen spectrometer measuring head based on local field reinforcing elementary of metal nanometer probe in the near-field optical, spectrum analytical detector technical domain, which is characterized by the following: adjusting the incidence angle of the excited light and the collecting angle of near-field Lamen spectrum signal; collecting the near-field Lamen spectrum signal from different directions; realizing multiple measuring patterns; improving the exciting efficiency and collecting efficiency of near-field Lamen spectrum signal effectively as well as the signal-to-noise ratio and detecting sensitivity; obtaining the nanometer size shape image, hyper-diffraction resolution near-field Lamen spectrum and near-field Lamen spectrum image simultaneously. adopting paralleling beam interface to combine with each kind of Lamen spectrometer or commercial Lamen spectrometer; fitting for dielectric size study in the biological, medical, chemical, physical and material domains widely.

Abstract: This article studies the iconographical tradition of depicting the game of ‘hot cockles’ (‘handjeklap’, or ‘la main chaude’) in order to understand the innovative treatment of the subject by the Antwerp seventeenth-century genre painters Christoffel Jacobsz Van der Lamen (1606/7–51/2) and his pupil Hieronymus Janssens (1624–93). Within this iconographic tradition, these painters were the most representative of the Southern Netherlands. Van der Lamen and Janssens appear to have been the first to add the game in paintings within the context of well-to-do bourgeois and aristocratic play and courting. Since the subject of the game of hot cockles might, at first sight, have raised primarily negative associations in the minds of the seventeenth-century audience (in the Northern Netherlands the game is repeatedly depicted in paintings as a form of low-class, peasant entertainment), their addition of the game in the iconographical tradition of elegant or merry company scenes (rich and elegant youngsters e...