30 research outputs found
A New Achievable Scheme for Interference Relay Channels
We establish an achievable rate region for discrete memoryless interference
relay channels that consist of two source-destination pairs and one or more
relays. We develop an achievable scheme combining Han-Kobayashi and noisy
network coding schemes. We apply our achievability to two cases. First, we
characterize the capacity region of a class of discrete memoryless interference
relay channels. This class naturally generalizes the injective deterministic
discrete memoryless interference channel by El Gamal and Costa and the
deterministic discrete memoryless relay channel with orthogonal receiver
components by Kim. Moreover, for the Gaussian interference relay channel with
orthogonal receiver components, we show that our scheme achieves a better sum
rate than that of noisy network coding.Comment: 18 pages, 4 figure
Accelerated identification of equilibrium structures of multicomponent inorganic crystals using machine learning potentials
The discovery of new multicomponent inorganic compounds can provide direct
solutions to many scientific and engineering challenges, yet the vast size of
the uncharted material space dwarfs current synthesis throughput. While the
computational crystal structure prediction is expected to mitigate this
frustration, the NP-hardness and steep costs of density functional theory (DFT)
calculations prohibit material exploration at scale. Herein, we introduce
SPINNER, a highly efficient and reliable structure-prediction framework based
on exhaustive random searches and evolutionary algorithms, which is completely
free from empiricism. Empowered by accurate neural network potentials, the
program can navigate the configuration space faster than DFT by more than
10-fold. In blind tests on 60 ternary compositions diversely selected
from the experimental database, SPINNER successfully identifies experimental
(or theoretically more stable) phases for ~80% of materials within 5000
generations, entailing up to half a million structure evaluations for each
composition. When benchmarked against previous data mining or DFT-based
evolutionary predictions, SPINNER identifies more stable phases in the majority
of cases. By developing a reliable and fast structure-prediction framework,
this work opens the door to large-scale, unbounded computational exploration of
undiscovered inorganic crystals.Comment: 3 figure
B4-04: Detection of peripheral lung cancer in the bronchial washing specimen using MAGE A1-6 RT-PCR
Spermidine-induced recovery of human dermal structure and barrier function by skin microbiome.
An unbalanced microbial ecosystem on the human skin is closely related to skin diseases and has been associated with inflammation and immune responses. However, little is known about the role of the skin microbiome on skin aging. Here, we report that the Streptococcus species improved the skin structure and barrier function, thereby contributing to anti-aging. Metagenomic analyses showed the abundance of Streptococcus in younger individuals or those having more elastic skin. Particularly, we isolated Streptococcus pneumoniae, Streptococcus infantis, and Streptococcus thermophilus from face of young individuals. Treatment with secretions of S. pneumoniae and S. infantis induced the expression of genes associated with the formation of skin structure and the skin barrier function in human skin cells. The application of culture supernatant including Streptococcal secretions on human skin showed marked improvements on skin phenotypes such as elasticity, hydration, and desquamation. Gene Ontology analysis revealed overlaps in spermidine biosynthetic and glycogen biosynthetic processes. Streptococcus-secreted spermidine contributed to the recovery of skin structure and barrier function through the upregulation of collagen and lipid synthesis in aged cells. Overall, our data suggest the role of skin microbiome into anti-aging and clinical applications
Improvement of a Low Cost MEMS Inertial-GPS Integrated System Using Wavelet Denoising Techniques
In this paper, the wavelet denoising techniques using thresholding method are applied to the low cost micro electromechanical
system (MEMS)-global positioning system(GPS) integrated system. This was done to improve the navigation performance. The
low cost MEMS signals can be distorted with conventional pre-filtering method such as low-pass filtering method. However,
wavelet denoising techniques using thresholding method do not distort the rapidly-changing signals. They can reduce the
signal noise. This paper verified the improvement of the navigation performance compared to the conventional pre-filtering by
simulation and experiment.DAPA/ADD/NGR
Facile Synthetic Route to Non-layered Two Dimensional ZIF Nanosheets for Enhanced Catalytic Activity
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Prediction of Small-Strain Dynamic Properties on Granulated Spherical Glass Bead-Polyurethane Mixtures
Analysis of Logic-in-Memory Full Adder Circuit With Floating Gate Field Effect Transistor (FGFET)
The high data throughput and high energy efficiency required recently are increasingly difficult to implement due to the von Neumann bottleneck. As a way to overcome this, Logic-in-Memory (LiM) technology has recently been receiving a lot of attention. In particular, since the addition function is important to solve high data throughput in applications such as artificial intelligence, the results of applying various fine-grain LiM application devices to full adder circuit design are being announced. In this paper, a Floating Gate Field Effect Transistor (FGFET), which has a structure similar to a floating gate memory cell transistor that has been widely used in the past and is highly applicable to mass production, was applied to the LiM application circuit design. Prior to application to circuit design, the FGFET characteristics were confirmed using a well-calibrated technology computer-aided design (TCAD) simulation at the 32nm technology node, and a compact model was developed to describe them. Afterwards, the delay and power consumption were evaluated with three different types of FGFET-based full adder circuits, and benchmarked with conventional CMOS (complementary metal-oxide-semiconductor)-based conventional full adder circuits
Analysis of <i>M</i>/<i>M</i>/1/<i>N</i> Stochastic Queueing—Inventory System with Discretionary Priority Service and Retrial Facility
In this paper, we analyze a queueing–inventory system with two classes of customers, high priority (HP) and low priority (LP), under the discretionary priority discipline. The LP customers are served in two stages: preliminary service in stage-I and main service in stage-II. In contrast, HP customers require only the main service. Whenever the inventory level is less than the threshold level during the stage-I service of an LP customer, an arriving HP customer is allowed to interrupt the service of an LP customer by adopting the mixed-priority discipline. Otherwise, non-preemptive priority discipline is used in both stages. The interrupted LP customer moves to orbit and retries for the service whenever the server is free. The waiting hall of finite capacity is afforded for the HP customer only. The orbital search is provided for LP customers in orbit. The inventory is replenished following the (s,Q) ordering policy, with the lifetimes of the items being exponentially distributed. An expression for the stability condition is determined explicitly, and system performance measures are evaluated. Numerical examples are formulated for different sets of input values of the parameters