• Title/Summary/Keyword: inter-scale

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DA-Res2Net: a novel Densely connected residual Attention network for image semantic segmentation

  • Zhao, Xiaopin;Liu, Weibin;Xing, Weiwei;Wei, Xiang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.11
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    • pp.4426-4442
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    • 2020
  • Since scene segmentation is becoming a hot topic in the field of autonomous driving and medical image analysis, researchers are actively trying new methods to improve segmentation accuracy. At present, the main issues in image semantic segmentation are intra-class inconsistency and inter-class indistinction. From our analysis, the lack of global information as well as macroscopic discrimination on the object are the two main reasons. In this paper, we propose a Densely connected residual Attention network (DA-Res2Net) which consists of a dense residual network and channel attention guidance module to deal with these problems and improve the accuracy of image segmentation. Specifically, in order to make the extracted features equipped with stronger multi-scale characteristics, a densely connected residual network is proposed as a feature extractor. Furthermore, to improve the representativeness of each channel feature, we design a Channel-Attention-Guide module to make the model focusing on the high-level semantic features and low-level location features simultaneously. Experimental results show that the method achieves significant performance on various datasets. Compared to other state-of-the-art methods, the proposed method reaches the mean IOU accuracy of 83.2% on PASCAL VOC 2012 and 79.7% on Cityscapes dataset, respectively.

Development of Pretreatment Method for Analysis of Vitamin B12 in Cereal Infant Formula using Immunoaffinity Chromatography and High-Performance Liquid Chromatography

  • Park, Jung Min;Koh, Jong Ho;Kim, Jin Man
    • Food Science of Animal Resources
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    • v.41 no.2
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    • pp.335-342
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    • 2021
  • Vitamin B12 deficiency may lead to serious health issues in both infants and adults. A simple analytical method involving sample pretreatment with enzyme, followed by cyanide addition under acidic conditions; separation on an immunoaffinity column; and high-performance liquid chromatography (HPLC) was developed for the rapid detection and quantitation of vitamin B12 in powdered milk. Detection limit and powdered milk recovery were determined by quantitative analysis. The limits of detection and quantitation were 2.71 and 8.21 ㎍/L, respectively. Relative standard deviations of the intra-day and inter-day precisions varied in the ranges of 0.98%-5.31% and 2.16%-3.90%, respectively. Recovery of the analysis varied in the range of 83.41%-106.57%, suggesting that the values were acceptable. Additionally, vitamin B12 content and recovery in SRM 1849a were 54.10 ㎍/kg and 112.24%, respectively. Our results suggested that the analytical method, including the sample pretreatment step, was valid. This analytical method can be implemented in many laboratory-scale experiments that seek to save time and labor. Therefore, this study shows that immunoaffinity-HPLC/ultraviolet is an acceptable technique for constructing a reliable database on vitamin B12 in powdered milk containing starch as well as protein and/or fat in high amounts.

A Study on The Establishment of A Driving Informaion System for An Intermodal Automatic Transport Bogie for Logistics Transportation (물류 수송을 위한 인터모달용 자동운송 대차의 주행정보 시스템 구축에 관한 연구)

  • Bae, Geo-Sung;Choi, Heon-Jin;Son, Ki-Hwan
    • The Journal of the Korea institute of electronic communication sciences
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    • v.17 no.1
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    • pp.181-186
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    • 2022
  • There is a demand for an intermodal automatic transport bogie as a means for efficient logistics transport. Intermodal is characterized by high demand for single-track operation in a specific section in connection with heterogeneous transportation means. In this study, a driving information system that is simple and optimized for the intermodal automatic transportation bogie is implemented to be suitable for the characteristics of the inter-modal automatic transportation bogie, unlike the existing railroad operation system, and applied to a real large-scale demonstration model to ensure in-place stopping and a smooth interface between each system. and operational examples with a simplified system.

Towards grain-scale modelling of the release of radioactive fission gas from oxide fuel. Part I: SCIANTIX

  • Zullo, G.;Pizzocri, D.;Magni, A.;Van Uffelen, P.;Schubert, A.;Luzzi, L.
    • Nuclear Engineering and Technology
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    • v.54 no.8
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    • pp.2771-2782
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    • 2022
  • When assessing the radiological consequences of postulated accident scenarios, it is of primary interest to determine the amount of radioactive fission gas accumulated in the fuel rod free volume. The state-of-the-art semi-empirical approach (ANS 5.4-2010) is reviewed and compared with a mechanistic approach to evaluate the release of radioactive fission gases. At the intra-granular level, the diffusion-decay equation is handled by a spectral diffusion algorithm. At the inter-granular level, a mechanistic description of the grain boundary is considered: bubble growth and coalescence are treated as interrelated phenomena, resulting in the grain-boundary venting as the onset for the release from the fuel pellets. The outcome is a kinetic description of the release of radioactive fission gases, of interest when assessing normal and off-normal conditions. We implement the model in SCIANTIX and reproduce the release of short-lived fission gases, during the CONTACT 1 experiments. The results show a satisfactory agreement with the measurement and with the state-of-the-art methodology, demonstrating the model soundness. A second work will follow, providing integral fuel rod analysis by coupling the code SCIANTIX with the thermo-mechanical code TRANSURANUS.

From Zomia to Holon: Rivers and Transregional Flows in Mainland Southeastern Asia, 1840-1950

  • Iqbal, Iftekhar
    • SUVANNABHUMI
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    • v.12 no.2
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    • pp.141-155
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    • 2020
  • How might historians secure for the river a larger berth in the recent macro-historical turn? This question cannot find a greater niche than in the emerging critique of the existing spatial configuration of regionalism in mainland Southeastern Asia. The Brahmaputra, Irrawaddy, Salween, Mekong and Yangtze rivers spread out like a necklace around Yunnan and cut across parts of the territories that are known as South, Southeast and East Asia. Each of these rivers has a different topography and fluvial itinerary, giving rise to different political, economic and cultural trajectories. Yet these rivers together form a connected "water-world". These rivers engendered conversations between multi-agentive mobility and large-scale place-making and were at the heart of inter-Asian engagements and integration until the formal end of the European empires. Being both a subject and a sponsor of transregional crossings, the paper argues, these rivers point to the need for a new historical approach that registers the connections between parts of the Southeast Asian massif through to the expansive plain land and the vast coastal rim of the Bay of Bengal and the China Seas. A connection that could be framed through the concept of Holon.

Generic and adaptive probabilistic safety assessment models: Precursor analysis and multi-purpose utilization

  • Ayoub, Ali;Kroger, Wolfgang;Sornette, Didier
    • Nuclear Engineering and Technology
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    • v.54 no.8
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    • pp.2924-2932
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    • 2022
  • Motivated by learning from experience and exploiting existing knowledge in civil nuclear operations, we have developed in-house generic Probabilistic Safety Assessment (PSA) models for pressurized and boiling water reactors. The models are computationally light, handy, transparent, user-friendly, and easily adaptable to account for major plant-specific differences. They cover the common internal initiating events, frontline and support systems reliability and dependencies, human-factors, common-cause failures, and account for new factors typically overlooked in many PSAs. For quantification, the models use generic US reliability data, precursor analysis reports, the ETHZ Curated Nuclear Events Database, and experts' opinions. Moreover, uncertainties in the most influential basic events are addressed. The generated results show good agreement with assessments available in the literature with detailed PSAs. We envision the models as an unbiased framework to measure nuclear operational risk with the same "ruler", and hence support inter-plant risk comparisons that are usually not possible due to differences in plant-specific PSA assumptions and scopes. The models can be used for initial risk screening, order-of-magnitude precursor analysis, and other research/pedagogic applications especially when no plant-specific PSAs are available. Finally, we are using the generic models for large-scale precursor analysis that will generate big picture trends, lessons, and insights.

A New Image Coding Technique with Low Entropy

  • Joo, S.H.;H.Kikuchi;S.Sasaki;Shin, J.
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 1998.06b
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    • pp.189-194
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    • 1998
  • We introduce a new zerotree scheme that effectively exploits the inter-scale self-similarities found in the octave decomposition by a wavelet transform. A zerotree is useful to efficiently code wavelet coefficients and its efficiency was proved by Shapiro's EZW. In the coding scheme, wavelet coefficients are symbolized and entropy-coded for more compression. The entropy per symbol is determined from the produced symbols and the final coded size is calculated by multiplying the entropy and the total number of symbols. In this paper, were analyze produced symbols from the EZW and discuss the entropy per symbol. Since the entropy depends on the produced symbols, we modify the procedure of symbolic streaming out for the purpose. First, we extend the relation between a parent and children used in the EZW to raise a probability that a significant parent has significant children. The proposed relation is flexibly extended according to the fact that a significant coefficient is highly addressed to have significant coefficients in its neighborhood. The extension way is reasonable because an image is decomposed by convolutions with a wavelet filter and thus neighboring coefficients are not independent with each other.

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Personalized Diets based on the Gut Microbiome as a Target for Health Maintenance: from Current Evidence to Future Possibilities

  • Eun-Ji Song;Ji-Hee Shin
    • Journal of Microbiology and Biotechnology
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    • v.32 no.12
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    • pp.1497-1505
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    • 2022
  • Recently, the concept of personalized nutrition has been developed, which states that food components do not always lead to the same metabolic responses, but vary from person to person. Although this concept has been studied based on individual genetic backgrounds, researchers have recently explored its potential role in the gut microbiome. The gut microbiota physiologically communicates with humans by forming a bidirectional relationship with the micronutrients, macronutrients, and phytochemicals consumed by the host. Furthermore, the gut microbiota can vary from person to person and can be easily shifted by diet. Therefore, several recent studies have reported the application of personalized nutrition to intestinal microflora. This review provides an overview of the interaction of diet with the gut microbiome and the latest evidence in understanding the inter-individual differences in dietary responsiveness according to individual baseline gut microbiota and microbiome-associated dietary intervention in diseases. The diversity of the gut microbiota and the presence of specific microorganisms can be attributed to physiological differences following dietary intervention. The difference in individual responsiveness based on the gut microbiota has the potential to become an important research approach for personalized nutrition and health management, although further well-designed large-scale studies are warranted.

Modelling of reinforced concrete flat slab-column connections for system-scale seismic analyses of high-rise buildings

  • T.Y. Yang;O. AlHarras;L. Tobber;O. Sargazi
    • Computers and Concrete
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    • v.31 no.1
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    • pp.23-32
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    • 2023
  • Reinforced concrete flat slab (RCFS) with columns is a standard gravity floor system for tall buildings in North America. Typically, RCFS-column connections are designed to resist gravity loads, and their contribution to resisting seismic forces is ignored. However, past experimental research has shown that RCFS-column connections have some strength and ductility, which may not be ignored. Advanced numerical models have been developed in the past to determine the nonlinear cyclic behavior of RCFS-column connections. However, these models are either too complicated for nonlinear dynamic analysis of an entire building or not developed to model the behavior of modern RCFS-column connections. This paper proposes a new nonlinear model suitable for modern RCFS-column connections. The numerical model is verified using experimental data of specimens with various material and reinforcement properties. A 40-story RC shear wall building was designed and analyzed to investigate the influence of RCFS on the global response of tall concrete buildings. The seismic responses of the building with and without the RCFS were modelled and compared. The results show that the modelling of RCFS has a significant impact on the inter-story drifts and force demands on both the seismic force-resisting and gravity elements.

Centralized Clustering Routing Based on Improved Sine Cosine Algorithm and Energy Balance in WSNs

  • Xiaoling, Guo;Xinghua, Sun;Ling, Li;Renjie, Wu;Meng, Liu
    • Journal of Information Processing Systems
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    • v.19 no.1
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    • pp.17-32
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    • 2023
  • Centralized hierarchical routing protocols are often used to solve the problems of uneven energy consumption and short network life in wireless sensor networks (WSNs). Clustering and cluster head election have become the focuses of WSNs. In this paper, an energy balanced clustering routing algorithm optimized by sine cosine algorithm (SCA) is proposed. Firstly, optimal cluster head number per round is determined according to surviving node, and the candidate cluster head set is formed by selecting high-energy node. Secondly, a random population with a certain scale is constructed to represent a group of cluster head selection scheme, and fitness function is designed according to inter-cluster distance. Thirdly, the SCA algorithm is improved by using monotone decreasing convex function, and then a certain number of iterations are carried out to select a group of individuals with the minimum fitness function value. From simulation experiments, the process from the first death node to 80% only needs about 30 rounds. This improved algorithm balances the energy consumption among nodes and avoids premature death of some nodes. And it greatly improves the energy utilization and extends the effective life of the whole network.