• Title/Summary/Keyword: Multi module

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Development and Packaging of Multi-channel Imaging Module for Near-infrared Fluorescence Imaging System (근적외선 형광 영상 시스템용 다채널 영상 모듈 개발 및 패키징)

  • Kim, Taehoon;Seo, Kyung Hwan;Lee, Hak Keun;Jeong, Myung Yung
    • Journal of the Microelectronics and Packaging Society
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    • v.26 no.2
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    • pp.59-64
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    • 2019
  • In this paper, we introduced a near-infrared multi-channel fluorescence imaging system and analyzed the effects of measurements variables such as exposure time, working distance and intensity of excitation light. Fluorescence signal is increased as exposure time becomes longer, excitation light intensity increases or working distance becomes smaller. Furthermore, the proper composition of optical filters and precise packaging of the imaging modules prevent the increase of background signal. Thus, we confirmed an increase in SBR. Based on the result of this research, we proposed a method to use a multi-channel fluorescence imaging system.

Battle Simulator for Multi-Robot Mission Simulation and Reinforcement Learning (다중로봇 임무모의 및 강화학습을 위한 전투급 시뮬레이터 연구)

  • Jungho Bae;Youngil Lee;Dohyun Kim;Heesoo Kim;Myoungyoung Kim;Myungjun Kim;Heeyoung Kim
    • Journal of the Korea Institute of Military Science and Technology
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    • v.27 no.5
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    • pp.619-627
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    • 2024
  • As AI technology advances, interest in performing multi-robot autonomous missions for manned-unmanned teaming (MUM-T) is increasing. In order to develop autonomous mission performance technology for multiple robots, simulation technology that reflects the characteristics of real robots and can flexibly apply various missions is needed. Additionally, in order to solve complex non-linear tasks, an API must be provided to apply multi-robot reinforcement learning technology, which is currently under active research. In this study, we propose the campaign model to flexibly simulate the missions of multiple robots. We then discuss the results of developing a simulation environment that can be edited and run and provides a reinforcement learning API including acceleration performance. The proposed simulated control module and simulated environment were verified using an enemy infiltration scenario, and parallel processing performance for efficient reinforcement learning was confirmed through experiments.

Leakage noise detection using a multi-channel sensor module based on acoustic intensity (음향 인텐시티 기반 다채널 센서 모듈을 이용한 배관 누설 소음 탐지)

  • Hyeonbin Ryoo;Jung-Han Woo;Yun-Ho Seo;Sang-Ryul Kim
    • The Journal of the Acoustical Society of Korea
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    • v.43 no.4
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    • pp.414-421
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    • 2024
  • In this paper, we design and verify a system that can detect piping leakage noise in an environment with significant reverberation and reflection using a multi-channel acoustic sensor module as a technology to prevent major plant accidents caused by leakage. Four-channel microphones arranged in a tetrahedron are designed as a single sensor module to measure three-dimensional sound intensity vectors. In an environment with large effects of reverberation and reflection, the measurement error of each sensor module increases on average, so after placing multiple sensor modules in the field, measurement results showing locations with large errors due to effects such as reflection are excluded. Using the intersection between three-dimensional vectors obtained from several pairs of sensor modules, the coordinates where the sound source is located are estimated, and outliers (e.g., positions estimated to be outside the site, positions estimated to be far from the average position) are detected and excluded among the points. For achieving aforementioned goal, an excluding algorithm by deciding the outliers among the estimated positions was proposed. By visualizing the estimated location coordinates of the leakage sound on the site drawing within 1 second, we construct and verify a system that can detect the location of the leakage sound in real time and enable immediate response. This study is expected to contribute to improving accident response capabilities and ensuring safety in large plants.

Miniaturization Development of Transmit/Receive Module using a 10W MEMS switch (10W급 MEMS 스위치를 이용한 송수신모듈 소형화 개발)

  • Yi, Hui-min;Jun, Byoung-chul;Lee, Bok-hyung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.12
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    • pp.2417-2424
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    • 2016
  • Small size and light weight is very important for components used in radar mounted platform such as airborne radar. Recently, the active phased array radar is developed as an array of antennas for thousands of transmit/receive modules to be used as a multi-function radar that can detect and track targets. In this case, the size and weight of the transmit/receive modules are critical factor for developing the radar. In this paper, we developed a compact transmit/receive module using the 10W RF MEMS switch domestically localizing and reduced the circuit area to about 86.5% compared to using a circulator. The developed module satisfies not only electrical requirements but also MIL-STD's environmental specifications. So it can be used in a military device. It can be used at adaptive tunable receivers, reconfigurable smart active antennas and wide band beam electrical steering antennas.

Mobile robot control by MNN using optimal EN (최적 EN를 사용한 MNN에 의한 Mobile Robot제어)

  • Choi, Woo-Kyung;Kim, Seong-Joo;Seo, Jae-Yong;Jeon, Hong-Tae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.13 no.2
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    • pp.186-191
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    • 2003
  • Skills in tracing of the MR divide into following, approaching, avoiding and warning and so on. It is difficult to have all these skills learned as neural network. To make this up for, skills consisted of each module, and Mobile Robot was controlled by the output of module adequate for the situation. A mobile Robot was equipped multi-ultrasonic sensor and a USB Camera, which can be in place of human sense, and the measured environment information data is learned through Modular Neural Network. MNN consisted of optimal combination of activation function in the Expert Network and its structure seemed to improve learning time and errors. The Gating Network(GN) used to control output values of the MNN by switching for angle and speed of the robot. In the paper, EN of Modular Neural network was designed optimal combination. Traveling with a real MR was performed repeatedly to verity the usefulness of the MNN which was proposed in this paper. The robot was properly controlled and driven by the result value and the experimental is rewarded with good fruits.

Communication Module Selection Algorithm for Energy Saving of Smartphone (스마트폰 에너지 절감을 위한 통신모듈 선택 알고리즘)

  • Lee, Chang-Moo;Lee, Seung-Jae;Choi, Deok-Jai
    • The Journal of the Korea Contents Association
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    • v.12 no.5
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    • pp.22-31
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    • 2012
  • A Smartphone is an intelligent device combined mobile phone and pc's support functions, and can perform multiple functions to satisfy the demands of users. It has excellent processing power and communication modules(DMB, Wi-Fi, Bluetooth, NFC etc) to carry out the demands of users. But continuous using of battery power on processor and equipped modules causes acceleration of battery consumption. This means that effective power management in devices like smartphone is important. Therefore, the management of power consumption on system execution and communication module is a serious issue in this field of study. In this paper, we would like to propose a communication module selection algorithm based on energy consumption parameter of each communication module and data transfer time. Our scheme automatically select appropriate communication system to reduce high energy consumption on bluetooth sleep mode so that this scheme is more efficient and effective thus improving user convenience in longer usage time. Experimental results showed the 20% energy saving.

Development of Traffic Prediction and Optimal Traffic Control System for Highway based on Cell Transmission Model in Cloud Environment (Cell Transmission Model 시뮬레이션을 기반으로 한 클라우드 환경 아래에서의 고속도로 교통 예측 및 최적 제어 시스템 개발)

  • Tak, Se-hyun;Yeo, Hwasoo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.15 no.4
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    • pp.68-80
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    • 2016
  • This study proposes the traffic prediction and optimal traffic control system based on cell transmission model and genetic algorithm in cloud environment. The proposed prediction and control system consists of four parts. 1) Data preprocessing module detects and imputes the corrupted data and missing data points. 2) Data-driven traffic prediction module predicts the future traffic state using Multi-level K-Nearest Neighbor (MK-NN) Algorithm with stored historical data in SQL database. 3) Online traffic simulation module simulates the future traffic state in various situations including accident, road work, and extreme weather condition with predicted traffic data by MK-NN. 4) Optimal road control module produces the control strategy for large road network with cell transmission model and genetic algorithm. The results show that proposed system can effectively reduce the Vehicle Hours Traveled upto 60%.

Characteristics of Embedded R, L, C Fabricated by Using LTCC-M Technology and Development of a PAM for LMR thereby (LTCC-M 기술을 이용한 내부실장 R, L, C 수동소자의 특징 및 LMR용 PAM개발)

  • 김인태;박성대;강현규;공선식;박윤휘;문제도
    • Journal of the Microelectronics and Packaging Society
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    • v.7 no.1
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    • pp.13-18
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    • 2000
  • Low temperature co-fired ceramics on metal (LTCC-M) is efficient for embedding passive components with good tolerance in a module due to the dimensional stability in x and y directions by the constraint of metal core during the firing. In addition, the radiation noise can be reduced by metal core. In this paper, embedded passive components were introduced and a power amplifier module (PAM) fabricated by using the passive components was explained. The embedded passive components in test patters showed the tolerance of 10~20% and the good repeatability in tolerance of embedded passives was maintained in module fabrication. The shortened traces in multi chip modules (MCMs) make the signal delay time decreased and the embedded passives simplify the packaging processes owing to the less solder points, which enhance the electrical performance and increase the reliability of the modules. The LTCC-M technology is one of the promising candidates for RF application and is expected to expand its applications to power and high performance devices.

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Design and Implementation of Real-Time Monitoring System for PLGR Work (PLGR 작업을 위한 실시간 모니터링 시스템의 설계 및 구현)

  • Lee, Tae-Oh;Jeong, Seong-Hoon;Yim, Jae-Hong
    • Journal of Navigation and Port Research
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    • v.27 no.1
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    • pp.87-95
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    • 2003
  • Submarine optical fiber cable construction consists of marine survey, PLGR(Pre Lay Grapnel Run), shore-end-work, laying the submarine optical cable. This PLGR is work to ease the cable lay safely in seabed, improve the performance of Plough and ROV (Remotely-Operated Vehicle) laying work, and protect laying equipment. This paper presents the design and implementation of real-time monitoring system for PLGR work in submarine optical fiber cable construction enterprise. In this paper, we designe overall real-time monitoring system. For this purpose, the modules such as serial multiport communication module, real-time processing module, environment configuration module, real-time graph and a printout modules are designed and implemented. For the validity evaluation of this paper, serial multi port communication module, data parsing, realtime graph output are implemented and tested.

Cooling Performance Study of a Impinging Water Jet System with Heat Sink for High Power LEDs (분사냉각모듈 내에 부착된 히트싱크에 따른 고출력 LED의 냉각성능에 관한 연구)

  • Ku, G.M.;Kim, K.;Park, S.H.;Choi, S.D.;Heo, J.W.
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.12 no.6
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    • pp.152-158
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    • 2013
  • The purpose of this study is to investigate cooling performance of high power LEDs from 100 to 200 W class by using a jet impingement cooling module. The numerical analysis of forced convection cooling inside cooling module is carried out using a multi-purpose CFD software, FLUENT 6.3. In the experiments, the LED cooling system consists of jet impingement module, heat exchanger, water reservoir, and pump. In the present study, the cooling performance of jet impingement cooling module is investigated to determine the effect of the heat sink types on the impinging surface, the space and length of fins. Numerical and experimental studies show the reasonable agreement of LED metal PCB temperature between those results and give the optimized design parameters such as the space of fin and the length of fin. Also, the pin fin type of heat sink is found to be more efficient than the plate type heat sink in jet impingement cooling.