• Title/Summary/Keyword: Attention Region

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Vehicle tire Noise/Vibration Characteristic Analysis using SEA(Statistical Energy Analysis) (SEA를 이용한 승용차 타이어의 소음/진동 특성 해석)

  • 김윤철;채장범;강기석;이상주;이승규
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2001.11b
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    • pp.719-724
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    • 2001
  • The study on reducing vehicle noise and vibration has gained much attention to ensure the comfortability as well as the safety. These days. in this paper, we applied Statistical Energy Analysis(SEA) to characterize the tire assembly, which is useful analytical tool for mid- and high-frequency range. First, the SEA tire model was developed by dividing the tire and the wheel into several subsystems. The material properties were estimated experimentally. Finally. the SEA model was validated by comparing the estimated and the measured. In addition, we investigated the energy level and the energy transfering paths through the tire assembly in different frequency region.

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Carlic and Cancer Prevention

  • Kim, Eun-Sil;Chun, Hui-Chung;Kim, Byong-Ki;Rhee, Khee-Choon
    • Preventive Nutrition and Food Science
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    • v.2 no.2
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    • pp.180-190
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    • 1997
  • Garlic (Alium sativum L.), originated in the Kirghiz region of Central Asia, is oneof the oldest cultivated plants. It has reached Europe via Egypt in the days of Pharaohs. Since then, the legendary medicinal properties attributed to garlic have attracted human interests for thousands of years. However, the research on the medicinal effect of garlic, mostly on this anticarcinogenic actions has been systematically performed only for the last tow or three decades. Many researches have proven that garlic inhibits neoplasia elicited by chemical carcinogens using in vitro or in vivo experimental systems. Attention has recently been focused on assessing the therapeutic or chemopreventive measures of garlic compounds against carcinogenesis in animals. The active principles of he garlic extract, mainly the sulfur compounds and their derivatives have been deeply scrutinized into their chemical, functional and medicinal properties.

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Guest Editorial The Third Round of Migrant Incorporation in East Asia: An Introduction to the Special Issue on Friends and Foes of Multicultural East Asia

  • Asahina, Yuki;Higuchi, Naoto
    • Journal of Contemporary Eastern Asia
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    • v.19 no.2
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    • pp.1-19
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    • 2020
  • Trends toward an influx of new migrants have been pronounced in East Asia through a development we call the third round of migrant incorporation. At the same time, other features of East Asian societies, such as strong levels of ethnic nationalism, have changed little, posing challenges to multiculturalism. In this introduction to this special issue, we review the latest research trends broadly concerning multiculturalism, migrant groups that have received little attention, racism and xenophobia. We first discuss the state of migrant incorporation in East Asia and the limits of multiculturalism in this region, where various features of the developmental state persist. We then introduce research on voices opposing multiculturalism in East Asia. This introduction highlights what is peculiar―and ordinary―about migrant incorporation and the associated challenges in East Asia.

Bacterial endophytes from ginseng and their biotechnological application

  • Chu, Luan Luong;Bae, Hanhong
    • Journal of Ginseng Research
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    • v.46 no.1
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    • pp.1-10
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    • 2022
  • Ginseng has been well-known as a medicinal plant for thousands of years. Bacterial endophytes ubiquitously colonize the inside tissues of ginseng without any disease symptoms. The identification of bacterial endophytes is conducted through either the internal transcribed spacer region combined with ribosomal sequences or metagenomics. Bacterial endophyte communities differ in their diversity and composition profile, depending on the geographical location, cultivation condition, and tissue, age, and species of ginseng. Bacterial endophytes have a significant effect on the growth of ginseng through indole-3-acetic acid (IAA) and siderophore production, phosphate solubilization, and nitrogen fixation. Moreover, bacterial endophytes can protect ginseng by acting as biocontrol agents. Interestingly, bacterial endophytes isolated from Panax species have the potential to produce ginsenosides and bioactive metabolites, which can be used in the production of food and medicine. The ability of bacterial endophytes to transform major ginsenosides into minor ginsenosides using β-glucosidase is gaining increasing attention as a promising biotechnology. Recently, metabolic engineering has accelerated the possibilities for potential applications of bacterial endophytes in producing beneficial secondary metabolites.

A brief review of non-invasive brain imaging technologies and the near-infrared optical bioimaging

  • Beomsue Kim;Hongmin Kim;Songhui Kim;Young-ran Hwang
    • Applied Microscopy
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    • v.51
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    • pp.9.1-9.10
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    • 2021
  • Brain disorders seriously affect life quality. Therefore, non-invasive neuroimaging has received attention to monitoring and early diagnosing neural disorders to prevent their progress to a severe level. This short review briefly describes the current MRI and PET/CT techniques developed for non-invasive neuroimaging and the future direction of optical imaging techniques to achieve higher resolution and specificity using the second near-infrared (NIR-II) region of wavelength with organic molecules.

Thirty Years of China-Korea Trade: Achievements and Challenges (한중 경제 무역 30년의 성과와 도전)

  • Liu, Yua
    • Korea Trade Review
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    • v.47 no.6
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    • pp.1-19
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    • 2022
  • China and Korea are good neighbors and partners. Since the establishment of diplomatic relations in 1992, the two countries have made promising achievements in political, economic, and humanistic exchanges for over three decades. In particular, bilateral economic and trade relations have yielded fruitful results, attracting worldwide attention. There are also unavoidable issues in the rapid development of bilateral trade and economic cooperation. And it is of great significance to look back on the past and look forward to the future on the 30th anniversary of the establishment of diplomatic ties between China and the Korea. With the upgrading of China's industrial structure and technological level, the bilateral trade relationship has gradually shifted from a complementary one to a competitive one. It is essential that both countries keep in mind the mutually beneficial nature of their relationship and make due contribution to the development of the Northeast Asian region and the world economy.

Automatic crack detection of dam concrete structures based on deep learning

  • Zongjie Lv;Jinzhang Tian;Yantao Zhu;Yangtao Li
    • Computers and Concrete
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    • v.32 no.6
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    • pp.615-623
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    • 2023
  • Crack detection is an essential method to ensure the safety of dam concrete structures. Low-quality crack images of dam concrete structures limit the application of neural network methods in crack detection. This research proposes a modified attentional mechanism model to reduce the disturbance caused by uneven light, shadow, and water spots in crack images. Also, the focal loss function solves the small ratio of crack information. The dataset collects from the network, laboratory and actual inspection dataset of dam concrete structures. This research proposes a novel method for crack detection of dam concrete structures based on the U-Net neural network, namely AF-UNet. A mutual comparison of OTSU, Canny, region growing, DeepLab V3+, SegFormer, U-Net, and AF-UNet (proposed) verified the detection accuracy. A binocular camera detects cracks in the experimental scene. The smallest measurement width of the system is 0.27 mm. The potential goal is to achieve real-time detection and localization of cracks in dam concrete structures.

An Automated Way to Detect Tumor in Liver

  • Meenu Sharma. Rafat Parveen
    • International Journal of Computer Science & Network Security
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    • v.23 no.10
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    • pp.209-213
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    • 2023
  • In recent years, the image processing mechanisms are used widely in several medical areas for improving earlier detection and treatment stages, in which the time factor is very important to discover the disease in the patient as possible as fast, especially in various cancer tumors such as the liver cancer. Liver cancer has been attracting the attention of medical and sciatic communities in the latest years because of its high prevalence allied with the difficult treatment. Statistics indicate that liver cancer, throughout world, is the one that attacks the greatest number of people. Over the time, study of MR images related to cancer detection in the liver or abdominal area has been difficult. Early detection of liver cancer is very important for successful treatment. There are few methods available to detect cancerous cells. In this paper, an automatic approach that integrates the intensity-based segmentation and k-means clustering approach for detection of cancer region in MRI scan images of liver.

Preliminary Economic Analysis based on Optimization of Green Ammonia Plant Configuration in the Middle East for Import into Korea

  • Hyun-Chang Shin;Hak-Soo Mok;Woo-Hyun Son
    • Journal of the Korean Society of Industry Convergence
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    • v.27 no.2_1
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    • pp.277-285
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    • 2024
  • Hydrogen is considered a key energy source to achieve carbon neutrality through the global goal of 'net zero'. Due to limitations in producing green hydrogen domestically, Korean companies are interested in importing green hydrogen produced overseas. The Middle East has high-quality solar energy resources and is attracting attention as a region producing green hydrogen using renewable energy. To build a green ammonia plant, optimization of the production facility configuration and economic feasibility analysis are required. It is expected that it will contribute to reviewing the economic feasibility of constructing overseas hydrogen production plants through preliminary economic feasibility analysis.

Precise segmentation of fetal head in ultrasound images using improved U-Net model

  • Vimala Nagabotu;Anupama Namburu
    • ETRI Journal
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    • v.46 no.3
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    • pp.526-537
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    • 2024
  • Monitoring fetal growth in utero is crucial to anomaly diagnosis. However, current computer-vision models struggle to accurately assess the key metrics (i.e., head circumference and occipitofrontal and biparietal diameters) from ultrasound images, largely owing to a lack of training data. Mitigation usually entails image augmentation (e.g., flipping, rotating, scaling, and translating). Nevertheless, the accuracy of our task remains insufficient. Hence, we offer a U-Net fetal head measurement tool that leverages a hybrid Dice and binary cross-entropy loss to compute the similarity between actual and predicted segmented regions. Ellipse-fitted two-dimensional ultrasound images acquired from the HC18 dataset are input, and their lower feature layers are reused for efficiency. During regression, a novel region of interest pooling layer extracts elliptical feature maps, and during segmentation, feature pyramids fuse field-layer data with a new scale attention method to reduce noise. Performance is measured by Dice similarity, mean pixel accuracy, and mean intersection-over-union, giving 97.90%, 99.18%, and 97.81% scores, respectively, which match or outperform the best U-Net models.