• Title/Summary/Keyword: Signal Strategy

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Design of Optimal control for Automatic Train Operation system in EMU

  • Han, Seong-Ho;Lee, Su-Gil;Kim, Soo-Gon;Lee, Woo-Dong
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.47.4-47
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    • 2001
  • The automatic-driverless operation, a very important technique for metro railways, is necessary for achieving higher safety, greater reliability, and bigger transport capacity. To achieve these things, we have to build up the system design and tasting techniques for the railway system operation. These techniques are related to the onboard train control and communication systems which include TCMS(Train Control and Monitoring System), ATO(automatic train Operation), ATC(Automatic train Control), and TWC(Train to wayside communication). These sub-systems should interface not only with each other but also between the sub-systems and the signal system on the ground. For the saving of energy, we designed coasting strategy of ATO system, In this paper, we developed ATO system and tested on the test line and ...

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Molecular mechanisms and therapeutic interventions in sarcopenia

  • Park, Sung Sup;Kwon, Eun-Soo;Kwon, Ki-Sun
    • Osteoporosis and Sarcopenia
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    • v.3 no.3
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    • pp.117-122
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    • 2017
  • Sarcopenia is the degenerative loss of muscle mass and function with aging. Recently sarcopenia was recognized as a clinical disease by the International Classification of Disease, 10th revision, Clinical Modification. An imbalance between protein synthesis and degradation causes a gradual loss of muscle mass, resulting in a decline of muscle function as a progress of sarcopenia. Many mechanisms involved in the onset of sarcopenia include age-related factors as well as activity-, disease-, and nutrition-related factors. The stage of sarcopenia reflecting the severity of conditions assists clinical management of sarcopenia. It is important that systemic descriptions of the disease conditions include age, sex, and other environmental risk factors as well as levels of physical function. To develop a new therapeutic intervention needed is the detailed understanding of molecular and cellular mechanisms by which apoptosis, autophagy, atrophy, and hypertrophy occur in the muscle stem cells, myotubes, and/or neuromuscular junction. The new strategy to managing sarcopenia will be signal-modulating small molecules, natural compounds, repurposing of old drugs, and muscle-specific microRNAs.

NASA EOS DB Receiving System Development by KARI

  • Ahn, Sang-Il;Koo, In-Hoi;Yang, Hyung-Mo;Hyun, Dae-Hwan;Choi, Hae-Jin
    • Korean Journal of Remote Sensing
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    • v.19 no.1
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    • pp.37-42
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    • 2003
  • Recently, KARI implemented the receiving and processing system for MODIS sensor data from NASA EOS satellites (TERRA and AQUA). This paper shows the development strategy considered, system requirement derived, system design, characteristic and test results of processing system. System operation concept and sample image are also provided. Implemented system was proven to be fully operational through lots of pass operations activities from RF signal reception to level-1 processing.

Gradient based Stereo Temperature Sensor System (구배값을 이용한 스테레오 열감지 센서 시스템)

  • Lee, Sooyong
    • The Journal of Korea Robotics Society
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    • v.14 no.4
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    • pp.258-263
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    • 2019
  • Some animals have special sensing functions in order to find foods, home and mates. Instead of passively sensing, they discharge signals and then extract necessary information from the response. More importantly, they utilize the gradients of the sensed signal in order to find the destination or objects. In this paper this special strategy is formulated mathematically, i.e., the perturbation and the correlation based gradient estimation is developed. A stereo sensor system using temperature sensors mounted on motors is developed for verification. The proposed method can estimate the gradient of the measured value accurately. Using this method, the direction in the maximum measured value can be estimated accurately, and the position of the heat source can be estimated from the intersection of the directions estimated from both sensors.

New evidence of Lockup Provisions: Effects on IPO Demands

  • Mohd-Rashid, Rasidah;Khaw, Karren Lee-Hwei;Mehmood, Waqas;Tajuddin, Ahmad Hakimi
    • Journal of Contemporary Eastern Asia
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    • v.21 no.1
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    • pp.43-52
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    • 2022
  • This study examines the impacts of a mandatory lockup ratio and lockup period, together with voluntary lockup, on the initial public offering (IPO) subscription rate in Malaysia. A sample of 390 IPOs launched from 2000 to 2016 was collected for analysis. The findings show that firms that adopt a lower lockup ratio and a shorter lockup period signal uncertainty about their prospects. Issuers would then show the tendency to underprice to increase investors' intention to subscribe to firms' IPO shares. This study concludes that as long as investors are aware of pertinent information about IPO firms, they should continue participating in the IPO market rather than behaving irrationally. Finally, policymakers could use the findings to improve the existing lockup provisions regulation.

A new ultrasonic power generator using instantaneous current resultant control-based inverter and its control system

  • Kim, Dong-Hee;Kim, Young-Seok;Yoo, Dong-Wook;Kim, Yo-Hee
    • 제어로봇시스템학회:학술대회논문집
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    • 1987.10b
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    • pp.631-636
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    • 1987
  • The design of ultrasonic transducer energy processing systems requires highly reliable command featuring mechanical frequency tracking and constant velocity control of the ultrasonic transducer with an acoustic load. This paper presents a new conceptional instantaneous current resultant control base high-frequency inverter using self turn-off devices driving an electrostrictive ultrasonic transducer system and its optimum control technique, which is implemented by feed-back of the ultrasonic transducer applied voltage and instantaneous velocity of the transducer vibrating system through a Phase-Locked-Loop control scheme. The feedback voltage corresponding to instantaneous velocity is averaged over a half-period with respect to constant amplitude/constant velocity control strategy. Described are the theory of this signal detection technique and the experimental set-up.

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Electrical Automatic Control System Based on the Internet of Things

  • Jiyong, Jin
    • Journal of Information Processing Systems
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    • v.18 no.6
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    • pp.784-793
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    • 2022
  • Grid-connected distributed power generation has been widely used in green energy generation. However, due to the distributed characteristics, distributed power generation is difficult to be dynamically allocated and monitored in the electrical control process. In order to solve this problem, this research combined the Internet of Things (IoT) with the automatic control system of electrical engineering to improve the control strategy of the power grid inverter according to the characteristics of the IoT system. In the research, a connection system of the power grid inverter and the IoT controller were designed, and the application effect was tested by simulation experiments. The results showed that the power grid inverter had strong tracking control ability for current and power control. Meanwhile, the electrical control system of the IoT could independently and dynamically control the three-phase current and power. The given value was reached within 50 ms after the step signal was input, which could protect the power grid from being affected by the current. The overall system could realize effective control, dynamic control and protective control.

Anti-migration and anti-invasion effects of LY-290181 on breast cancer cell lines through the inhibition of Twist1

  • Jiyoung Park;Sewoong Lee;Haelim Yoon;Eunjeong Kang;Sayeon Cho
    • BMB Reports
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    • v.56 no.7
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    • pp.410-415
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    • 2023
  • Breast cancer has become the most common cancer among women worldwide. Among breast cancers, metastatic breast cancer is associated with the highest mortality rate. Twist1, one of the epithelial-mesenchymal transition-regulating transcription factors, is known to promote the intravasation of breast cancer cells into metastatic sites. Therefore, targeting Twist1 to develop anti-cancer drugs might be a valuable strategy. In this study, LY-290181 dose-dependently inhibited migration, invasion, and multicellular tumor spheroid invasion in breast cancer cell lines. These anti-cancer effects of LY-290181 were mediated through the down-regulation of Twist1 protein levels. LY-290181 inhibited extracellular signal-regulated kinase and c-Jun N-terminal kinase signaling pathways. Therefore, our findings suggest that LY-290181 may serve as a basis for future research and development of an anti-cancer agent targeting metastatic cancers.

A Control Strategy of Auto-Leveling System for Vehicle Platform based on DSP (DSP를 이용한 차량용 레이다 수평안정화장치 구동 전략)

  • Byeol Han;Yushin Chang;Sungyong Lee
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.07a
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    • pp.507-509
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    • 2023
  • 본 논문에서는 DSP (Digital Signal Processing)를 이용한 차량용 레이다 수평안정화장치 구동 전략을 제안한다. 지대공 유도 미사일용 차량용 레이다는 전방향으로 일정 속도로 회전하며 감시정찰 임무를 수행한다. 수평안정화장치는 4세트의 수평구동모듈을 이용하여 차량 플랫폼의 수평을 유지하여 레이다의 안정적인 회전을 가능하게 한다. 이를 실시간으로 구현하기 위해 임베디드시스템인 DSP를 적용하여 경사도를 측정하고, 구동모듈에 구동 명령을 인가하여 수평을 유지한다. 수평구동모터는 감속기를 통하여 모터 토크를 증가시켜 수평 안정 동작을 수행한다. 본 논문에서는 수평구동모듈 1세트를 모델링하여 수평안정화장치를 축소 구현한다. 제안하는 구동 전략의 유효성은 시뮬레이션으로 입증한다.

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Deep reinforcement learning for base station switching scheme with federated LSTM-based traffic predictions

  • Hyebin Park;Seung Hyun Yoon
    • ETRI Journal
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    • v.46 no.3
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    • pp.379-391
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    • 2024
  • To meet increasing traffic requirements in mobile networks, small base stations (SBSs) are densely deployed, overlapping existing network architecture and increasing system capacity. However, densely deployed SBSs increase energy consumption and interference. Although these problems already exist because of densely deployed SBSs, even more SBSs are needed to meet increasing traffic demands. Hence, base station (BS) switching operations have been used to minimize energy consumption while guaranteeing quality-of-service (QoS) for users. In this study, to optimize energy efficiency, we propose the use of deep reinforcement learning (DRL) to create a BS switching operation strategy with a traffic prediction model. First, a federated long short-term memory (LSTM) model is introduced to predict user traffic demands from user trajectory information. Next, the DRL-based BS switching operation scheme determines the switching operations for the SBSs using the predicted traffic demand. Experimental results confirm that the proposed scheme outperforms existing approaches in terms of energy efficiency, signal-to-interference noise ratio, handover metrics, and prediction performance.