5,150 research outputs found
Object Detection based on Region Decomposition and Assembly
Region-based object detection infers object regions for one or more
categories in an image. Due to the recent advances in deep learning and region
proposal methods, object detectors based on convolutional neural networks
(CNNs) have been flourishing and provided the promising detection results.
However, the detection accuracy is degraded often because of the low
discriminability of object CNN features caused by occlusions and inaccurate
region proposals. In this paper, we therefore propose a region decomposition
and assembly detector (R-DAD) for more accurate object detection.
In the proposed R-DAD, we first decompose an object region into multiple
small regions. To capture an entire appearance and part details of the object
jointly, we extract CNN features within the whole object region and decomposed
regions. We then learn the semantic relations between the object and its parts
by combining the multi-region features stage by stage with region assembly
blocks, and use the combined and high-level semantic features for the object
classification and localization. In addition, for more accurate region
proposals, we propose a multi-scale proposal layer that can generate object
proposals of various scales. We integrate the R-DAD into several feature
extractors, and prove the distinct performance improvement on PASCAL07/12 and
MSCOCO18 compared to the recent convolutional detectors.Comment: Accepted to 2019 AAAI Conference on Artificial Intelligence (AAAI
The equations of some dispersionless limit
This short article presents a table of new equations which can be regarded as
the generalized equations of the dispersionless limit of several nonlinear
equations. From the definition expressed in an algebraic formula, one can get
an equation for any positive numbers p and q. The equations were calculated by
using the computers and were examined by hand-calculation up to p=10. Relations
with some dispersionless hierarchies are mentioned.Comment: AmSTeX, 6 pages, amsppt.st
The dynamically induced Fermi arcs and Fermi pockets in two dimensions: a model for underdoped cuprates
We investigate the effects of the dynamic bosonic fluctuations on the Fermi
surface reconstruction in two dimensions as a model for the underdoped
cuprates. At energies larger than the boson energy , the dynamic
nature of the fluctuations is not important and the quasi-particle dispersion
exhibits the shadow feature like that induced by a static long range order. At
lower energies, however, the shadow feature is pushed away by the finite
. The detailed low energy features are determined by the bare
dispersion and the coupling of quasi-particles to the dynamic fluctuations. We
present how these factors reconstruct the Fermi surface to produce the Fermi
arcs or the Fermi pockets, or their coexistence. Our principal result is that
the dynamic nature of the fluctuations, without invoking a
yet-to-be-established translational symmetry breaking hidden order, can produce
the Fermi pocket centered away from the towards the zone center
which may coexist with the Fermi arcs. This is discussed in comparison with the
experimental observations.Comment: Some comments and references were added and typos were corrected. The
published version. 9 page
Identification of SNPs in TG and EDG1 genes and their relationships with carcass traits in Korean cattle (Hanwoo)
Thyroglobulin (TG) gene was known to be regulated fat cell growth and differentiation and the endothelial
differentiation sphingolipid G-protein-coupled receptor 1 (EDG1) gene involves blood vessel formation and known to
be affecting carcass traits in beef cattle. The aim of this study was to identify the single nucleotide polymorphisms (SNPs)
in both TG and EDG1 genes and to analyze the association with carcass traits in Korean cattle (Hanwoo). The T354C
SNP in TG gene located at the 3β flanking region and c.-312A>G SNP located at 3β-UTR of EDG1 gene were used
for genotyping the animals using PCR-RFLP method. Three genotypes were identified in T354C SNP in TG gene and
only two AA and AG genotypes were observed for the c.-312A>G SNP in EDG1 gene. The results indicated that T354C
SNP in TG gene was not significantly associated with carcass traits. However, the c.-312A>G SNP in EDG1 gene had
significant effects on backfat thickness (BF) and yield index (YI). These results may provide valuable information for
further candidate gene studies affecting carcass traits in Korean cattle and may use as marker assisted selection for
improving the quality of meat in Hanwoo.
Key words : TG, EDG1, Carcass traits, Hanwo
Empirical Examination Of Effects Of Web Assurance Seals On Perceived Level Of Assurance And Price Tolerance With A Focus Being Placed On CPA-Associated Seals
Since the emergence of electronic commerce (e-commerce), the trustworthiness of commercial web sites has been one of the most important, persistent, and interesting issues both in industry and academia. Not surprisingly, web assurance seals have attracted considerable attention among e-commerce vendors due to its potential role as a key factor in the formation of initial trust. However, recent evidence indicates that web assurance seals fail to enhance online purchasing behavior in spite of rosy promises from seal providers. This research examines the mechanism of perceived assurance level formulation through the use of web assurance seal, seeking possible answers to whether Certified Public Accountant (CPA)-associated seals have more effect on the perceived assurance levels than non-CPA-associated seals. As such, the success of web assurance seal is contingent on multiple factors including the attributes of the assurance seal providers, the perceived value of the seal, and the familiarity of the web assurance seal. Overall, this article contributes to both practice and research by shedding light on the largely ignored phenomenon, namely, of web assurance seal failure and by exploring fundamental factors affecting web assurance seal initiativeβs success
Postponement for Designing Mass-Customized Supply Chains: Categorization and Framework for Strategic Decision Making
The concept of mass-customization has been suggested as the mandatory capability in the 21st century market place where customers individual need must be satisfied rather than the need of mass market. Postponement is a powerful methodology to achieve Cost-effective mass customization when applied in the scope of supply chain. There have been a number of literatures that employed postponement or reviewed postponement in a complex manner but not much on providing a simple framework practitioners can easily apply for establishing the level of implementing postponement to their supply chains. In this paper the classificationof the postponement in terms of level of implementation and the strategic decision framework for selecting the right postponement that considers realistic aspect of recent economy are presented
Design in support of playfulness
Playful environments can be conceived as landscapes able to support an individualβs internal sense of playfulness and its external manifestation. These environments cultivate a sense of place where recreational, therapeutic, and educational resources are merged based on the conviction that nature is a positive influence.
This project explores how outdoor spaces encompass the built and natural world, convey a sense of connection to spatial ephemera and phenomena, and ultimately how space can become spaces for individuals. The project explores the notion of playfulness and the meaning it may acquire for design within landscape architecture. The study aims to positively contribute to making peopleβs lives more playful, joyful, and cheerful. It intends to touch people\u27s lives gently, improve their quality of life, and influence the way they build and view the world more positively.
Throughout the thesis, drawing acts as a tool for noticing, linking, and wayfinding the relationship between individuals and space as well as structural and ephemeral elements in the landscape. Through drawing, the investigation examines the process of communicating powerful and meaningful experiences and conveys a personal aesthetic approach to the landscape moments
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곡νλΆ, 2022. 8. μ΅μμ§.Gluten, composed of glutenin and gliadin, is an important raw material that determines the quality of wheat foods such as bread and pasta by giving dough viscoelasticity. However, gliadin in the gluten protein causes celiac disease and wheat allergens, which causes fatal damage to the small intestine, so many methods have been developed for the detection of gluten. The studied detection method has disadvantages that are difficult to use practically in the field due to complicated equipment, long time, and cost. In this paper, a label-free colorimetric aptasensor detection method that can detect gliadin in gluten, a cause of celiac disease, was developed in the field. Based on the salt-induced aggregation of gold nanoparticles, it was detected using a gli4 aptamer that specifically recognizes gliadin. The pre-treatment process of gliadin was simplified to be suitable for the field by extracting it by dissolving it in 60% ethanol. For induction of salt aggregation of gold nanoparticles, gli4 aptamer, gliadin, and NaCl were each optimized in concentration and volume, as confirmed by UV-Vis spectrophotometer and electron transmission microscope (TEM), NaCl and gli4 aptamer concentrations were optimized to 120 mM and 125 nM, respectively. When detecting gliadin based on optimization, the linear curve range (0-120 mg/L) that meets the gluten-free standard (20 mg/L) within 70 min, and the detection limit is 10.5 mg/L (UV-Vis spectrophotometer) and 12 mg/L (colorimetric). In addition, as a selectivity test, the aptasensor was observed for other grain proteins (barley, oats, corn, and rice), and it was confirmed that it responded only to gliadin. To confirm the detection in real foods, ELISA and aptasensor were compared by spiking gliadin at any concentration into gluten-free foods (pasta, bread, and cookie), and it was shown that it could be detected below the gluten-free standard. Therefore, the results of this study are expected to be applied in the food industry to gluten-sensitive allergen patients and environments that require verification of gluten-free food.κΈλ£¨ν
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. INTRODUCTION 6
β
‘. MATERIALS AND METHODS 9
2.1. Materials 9
2.2. Instrumentation 9
2.3. Synthesis of gold nanoparticles (AuNP) 10
2.4. Optimization of detection condition 10
2.4.1. Measurement of the absorbance 10
2.4.2. Optimization of NaCl concentrations 11
2.4.3. Optimization of gli4 aptamer concentrations 12
2.5. Detection of gliadin 12
2.6. Selectivity of the colorimetric aptasensor of gliadin 13
2.7. Validation of gliadin detection in real foods 14
2.8. Statistical analysis 15
β
’. RESULTS AND DISCUSSION 16
3.1. Overall detection procedures 16
3.2. Optimization of detection condition 21
3.2.1. Optimization of NaCl concentrations 21
3.2.2. Optimization of gli4 aptamer concentrations 26
3.3. Detection of gliadin 31
3.4. Selectivity of the colorimetric aptasensor of gliadin 37
3.5. Validation of gliadin detection in real foods 39
CONCLUSION 42
REFERENCES 44
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