832 research outputs found
Power consumption analysis on an IoT network based on wemos: a case study
On Internet of Things network (IoT), connections established among every device that connected to the Internet. An IoT uses different communication method instead to that, the Internet uses. Internet of Things (IoT) applications, use a light weight protocol Message Queue Telemetry Transport (MQTT). In this article an Internet of Things (IoT) system is presented, an advanced solution of monitoring the temperature and luminosity at different locations in a data centre of MQTT Server, measuring power consumption in 2 types of time of capturing data (every 0,5 min and every 1 min) making temperature and luminosity data visible over internet through cloud based dashboard. The quality of service (QoS) in some application is very crucial because the data collection is essential. This research focus on QoS in terms of power consumption as well as the battery life of the system. The results show that the battery life span is proportional to the QoS and the longevity of the battery and respectively the IoT network life depends on it
Optical properties of planar chiral meta-materials
The polarization state of visible light is found to be altered upon reflection from artificial two-dimensional chiral media. Arrays of metallic planar chiral structures were fabricated by electron beam lithography and ion beam milling. The characteristic dimensions on the chiral elements correspond to wavelengths in the near-IR. Our chiral media are found to induce strong polarization effects, with the handedness of individual elements having a direct effect on the sense and magnitude of rotation of the diffracted light
COVID-19 Imposes Rethinking of Conferencing -- Environmental Impact Assessment of Artificial Intelligence Conferences
It has been noticed that through COVID-19 greenhouse gas emissions had a
sudden reduction. Based on this significant observation, we decided to conduct
a research to quantify the impact of scientific conferences' air-travelling,
explore and suggest alternative ways for greener conferences to re-duce the
global carbon footprint. Specifically, we focused on the most popular
conferences for the Artificial Intelligence community based on their scientific
impact factor, their scale, and the well-organized proceedings towards
measuring the impact of air travelling participation. This is the first time
that systematic quantification of a state-of-the-art subject like Artificial
Intelligence takes place to define its conferencing footprint in the broader
frames of environmental awareness. Our findings highlight that the virtual way
is the first on the list of green conferences' conduction although there are
serious concerns about it. Alternatives to optimal conferences' location
selection have demonstrated savings on air-travelling CO2 emissions of up to
63.9%.Comment: 18 pages, 5 figure
Near-field polarization conversion in planar chiral nanostructures
Enantiomeric-sensitive optical polarization conversion has been observed in the near-field above a planar chiral nanostructures consisting of an array of gammadions cut in a metal film. Formation of the far-field scattered light rotated with respect to the incident linear polarized light has been visualized
Probing LLMs for Joint Encoding of Linguistic Categories
Large Language Models (LLMs) exhibit impressive performance on a range of NLP tasks, due to the general-purpose linguistic knowledge acquired during pretraining. Existing model interpretability research (Tenney et al., 2019) suggests that a linguistic hierarchy emerges in the LLM layers, with lower layers better suited to solving syntactic tasks and higher layers employed for semantic processing. Yet, little is known about how encodings of different linguistic phenomena interact within the models and to what extent processing of linguistically-related categories relies on the same, shared model representations. In this paper, we propose a framework for testing the joint encoding of linguistic categories in LLMs. Focusing on syntax, we find evidence of joint encoding both at the same (related part-of-speech (POS) classes) and different (POS classes and related syntactic dependency relations) levels of linguistic hierarchy. Our cross-lingual experiments show that the same patterns hold across languages in multilingual LLMs.</p
Surface plasmon toy-model of a rotating black hole
Recently introduced surface plasmon toy black hole model has been extended in
order to emulate a rotating black hole (Kerr metric). Physical realization of
this model involves a droplet of an optically active liquid on the metal
surface which supports propagation of surface plasmons. Such droplets are shown
to exhibit giant optical activity in the frequency range near the surface
plasmon resonance of a metal-liquid interface.Comment: 4 pages, 4 figure
- …