• Journal of Internet Computing and Services
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• v.24 no.6
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• pp.73-80
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• 2023

The recent steep increase in the minimum hourly wage has increased the burden of labor costs, and the share of unmanned stores is increasing in the aftermath of COVID-19. As a result, theft crimes targeting unmanned stores are also increasing, and the "Just Walk Out" system is introduced to prevent such thefts, and LiDAR sensors, weight sensors, etc. are used or manually checked through continuous CCTV monitoring. However, the more expensive sensors are used, the higher the initial cost of operating the store and the higher the cost in many ways, and CCTV verification is difficult for managers to monitor around the clock and is limited in use. In this paper, we would like to propose an AI image processing fusion algorithm that can solve these sensors or human-dependent parts and detect customers who perform abnormal behaviors such as theft at low costs that can be used in unmanned stores and provide cloud-based notifications. In addition, this paper verifies the accuracy of each algorithm based on behavior pattern data collected from unmanned stores through motion capture using mediapipe, object detection using YOLO, and fusion algorithm and proves the performance of the convergence algorithm through various scenario designs.

• Journal of Life Science
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• v.30 no.11
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• pp.999-1006
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• 2020

The suppression of neuroinflammatory responses in microglial cells, well known as the main immune cells in the central nervous system (CNS), are considered a key target for improving the progression of neurodegenerative diseases such as Alzheimer's disease, Parkinson's disease, and Huntington's disease. Teleogryllus emma is widely consumed around the world for its broad-spectrum therapeutic effect. In a previous work, we performed transcriptome analysis on T. emma in order to obtain the diversity and activity of its antimicrobial peptides (AMPs). AMPs are found in a variety of species, from microorganisms to mammals. They have received much attention as candidates oftherapeutic drugs for the treatment of inflammation-associated diseases. In this study, we investigated the anti-neuroinflammatory effect of Teleogryllusine (VKWKRLNNNKVLQKIYFVKI-NH₂) derived from T. emma on lipopolysaccharide (LPS) induced BV-2 microglia cells. Teleogryllusine significantly inhibited nitric oxide (NO) production without cytotoxicity, and reducing pro-inflammatory enzymes expression such as inducible nitric oxide synthase (iNOS) and cyclooxygenase-2 (COX-2). In addition, Telegryllusine also inhibited the expression of pro-inflammatory cytokines such as interleukin-6 (IL-6) and tumor necrosis factor alpha (TNF-α) through down-regulation of the mitogen-activated protein kinases (MAPKs) and nuclear factor kappa B (NF-κB) signaling pathway. These results suggest that T. emma-derived Teleogryllusine could be a good source of functional substances that prevent neuroinflammation and neurodegenerative diseases.