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Robust Object Tracking based on Weight Control in Particle Swarm Optimization (파티클 스웜 최적화에서의 가중치 조절에 기반한 강인한 객체 추적 알고리즘)

  • Kang, Kyuchang;Bae, Changseok;Chung, Yuk Ying
    • The Journal of Korean Institute of Next Generation Computing
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    • v.14 no.6
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    • pp.15-29
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    • 2018
  • This paper proposes an enhanced object tracking algorithm to compensate the lack of temporal information in existing particle swarm optimization based object trackers using the trajectory of the target object. The proposed scheme also enables the tracking and documentation of the location of an online updated set of distractions. Based on the trajectories information and the distraction set, a rule based approach with adaptive parameters is utilized for occlusion detection and determination of the target position. Compare to existing algorithms, the proposed approach provides more comprehensive use of available information and does not require manual adjustment of threshold values. Moreover, an effective weight adjustment function is proposed to alleviate the diversity loss and pre-mature convergence problem in particle swarm optimization. The proposed weight function ensures particles to search thoroughly in the frame before convergence to an optimum solution. In the existence of multiple objects with similar feature composition, this algorithm is tested to significantly reduce convergence to nearby distractions compared to the other existing swarm intelligence based object trackers.

Implementation of CNN Model for Classification of Sitting Posture Based on Multiple Pressure Distribution (다중 압력분포 기반의 착석 자세 분류를 위한 CNN 모델 구현)

  • Seo, Ji-Yun;Noh, Yun-Hong;Jeong, Do-Un
    • Journal of the Institute of Convergence Signal Processing
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    • v.21 no.2
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    • pp.73-78
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    • 2020
  • Musculoskeletal disease is often caused by sitting down for long period's time or by bad posture habits. In order to prevent musculoskeletal disease in daily life, it is the most important to correct the bad sitting posture to the right one through real-time monitoring. In this study, to detect the sitting information of user's without any constraints, we propose posture measurement system based on multi-channel pressure sensor and CNN model for classifying sitting posture types. The proposed CNN model can analyze 5 types of sitting postures based on sitting posture information. For the performance assessment of posture classification CNN model through field test, the accuracy, recall, precision, and F1 of the classification results were checked with 10 subjects. As the experiment results, 99.84% of accuracy, 99.6% of recall, 99.6% of precision, and 99.6% of F1 were verified.

Analysis of Transceiver Structure and Experimental Results of Underwater Acoustic Communication Using the Sub-band (부 대역을 이용한 수중 음향 통신 송수신 구조 및 실험 결과 분석)

  • Jeong, Hyun-Woo;Shin, Ji-Eun;Jung, Ji-Won
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.13 no.6
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    • pp.545-555
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    • 2020
  • This paper presented efficient transceiver structure using sub-band processing for underwater communication in terms of covertness and performance improvement. In aspect of covertness, encrypted coded-bits are divided into groups, and center frequency and sub band are determined by coded-bits of each group. Therefore, as center frequencies are changed randomly, it maintain the covertness effectively. In aspect of performance improvement, the performance of underwater communication mainly depends on multi-path propagation characteristics, Doppler-spread, and frame synchronization. Accordingly, in order to overcome these effects, non-coherent energy detector and turbo equalization method are employed in receiver side. Furthermore, optimal frame synchronization was proposed. Through the simulation and lake experiment, performance analysis was conducted. Especially in the lake experiment, as a result of applying optimal frame synchronization method to receiver structure, errors are corrected in most frames.

Real Time Fault Diagnosis of UAV Engine Using IMM Filter and Generalized Likelihood Ratio Test (IMM 필터 및 GLRT를 이용한 무인기용 엔진의 실시간 결함 진단)

  • Han, Dong-Ju;Kim, Sang-Jo;Kim, Yu-Il;Lee, Soo-Chang
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.50 no.8
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    • pp.541-550
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    • 2022
  • An effective real time fault diagnosis approach for UAV engine is drawn from IMM filter and GLRT methods. For this purpose based on the linear diagnosis model derived from engine dynamic performance analysis the Kalman filter for residual estimation and each method are applied to the fault diagosis of the actuator for engine control sensors. From the process of the IMM filter application the effective FDI measure is obtained and the state responses due to actuator fault are estimated. Likewise from the GLRT method the fault magnitudes of actuator and sensors are estimated associated with some FDI functionings. The numerical simulations verify the effectiveness of the IMM filter for FDI and the GLRT in estimating the fault magnitudes of each fault mode.

Random Sign Reversal Technique in Space Frequency Block Code for Single Carrier Modulation (단일 반송파 변조를 위한 공간 주파수 블록 코드의 난수 부호 반전 기법)

  • Jung, Hyeok-Koo
    • Journal of Korea Society of Industrial Information Systems
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    • v.27 no.5
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    • pp.25-36
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    • 2022
  • This paper proposes a random sign reversal technique in space frequency block code for single carrier modulation. The traditional space time and frequency block coding technique may be confronted with radio environments openly, severe radio hijacking problems are to be overcome. In order to avoid such an open radio issue, random coded data protection technique for space-time block code was proposed, but this algorithm can change channel combination per an Orthogonal Frequency Division Multiplexing block. This kind of slow switching increases the probability that nearby receivers will detect the transmitted data. This paper proposes a fast switching algorithm per data symbols' basis which is a random sign reversal technique in space frequency block code for Single Carrier Modulation. It is shown in simulation that the proposed one has a superior performance in comparison with the performance of the receiver which do not know the random timing sequence of sign reversal.

A 166MHz Phase-locked Loop-based Frequency Synthesizer (166MHz 위상 고정 루프 기반 주파수 합성기)

  • Minjun, Cho;Changmin, Song;Young-Chan, Jang
    • Journal of IKEEE
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    • v.26 no.4
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    • pp.714-721
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    • 2022
  • A phase-locked loop (PLL)-based frequency synthesizer is proposed for a system on a chip (SoC) using multi-frequency clock signals. The proposed PLL-based frequency synthesizer consists of a charge pump PLL which is implemented by a phase frequency detector (PFD), a charge pump (CP), a loop filter, a voltage controlled oscillator (VCO), and a frequency divider, and an edge combiner. The PLL outputs a 12-phase clock by a VCO using six differential delay cells. The edge combiner synthesizes the frequency of the output clock through edge combining and frequency division of the 12-phase output clock of the PLL. The proposed PLL-based frequency synthesizer is designed using a 55-nm CMOS process with a 1.2-V supply voltage. It outputs three clocks with frequencies of 166 MHz, 83 MHz and 124.5MHz for a reference clock with a frequency of 20.75 MHz.

Development of IoT Sensor-Gateway-Server Platform for Electric Fire Prediction and Prevention (전기화재 예측 및 예방을 위한 IoT 센서-게이트웨이-서버 플랫폼 개발)

  • Yang, Seung-Eui;Kim, Hankil;Song, Hyun-ok;Jung, Heokyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.255-257
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    • 2021
  • During the winter season, when electricity usage increases rapidly every year, fires are frequent due to short circuits in aging electrical facilities in multi-use facilities such as traditional markets and jjimjilbangs, apartments, and multi-family houses. Most of the causes of such fires are caused by excessive loads applied to aging wires, causing the wire covering to melt and being transferred to surrounding ignition materials. In this study, we implement a system that measures the overload and overheating of the wire through a composite sensor, detects the toxic gas generated there, and logs it to the server through the gateway. Based on this, we will develop a platform that can predict, alarm and block electric fires in real time through big data analysis, and a simulator that can simulate fire occurrence experiments.

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Application of Quality Control Procedure to Improve Reliability of GPS Positioning (관측데이터 처리의 품질제어를 통한 GPS 측위의 신뢰성 향상)

  • Lee, Kyeong-Seong;Lee, Hung-Kyu
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.29 no.2D
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    • pp.319-327
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    • 2009
  • In order to estimate accurate position by GPS observations, it is prerequisite to define both of the correct function model and the realistic stochastic model. In the case that un-modeled outliers exist in observations, estimates become biased, and their standard deviations are unable to be used as a measure which represents their accuracy. Hence, such outliers should be appropriately removed from the observations before estimating final solutions, so that the accuracy can be maximized with the improvement of the reliability. For this purpose, this research deals with quality control and quality measure computation algorithms for GPS stand-alone positioning. After theoretical studies, all the algorithms have been implemented and tested with real observations. Results of the tests indicate that the reliability of the estimated position is improved by increasing redundancy as well as using good satellite geometry and more realistic stochastic model. Moreover, the adaptation of the quality control procedure enable to improve positioning reliability and accuracy by appropriately excluding outlier in observations.

Pictorial Essay: Understanding of Persistent Left Superior Vena Cava and Its Differential Diagnosis (임상화보: 지속성 좌측상대정맥의 이해와 감별 진단)

  • Eo Ram Jeong;Eun-Ju Kang;Joo Hee Jeun
    • Journal of the Korean Society of Radiology
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    • v.83 no.4
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    • pp.846-860
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    • 2022
  • Persistent left superior vena cava (PLSVC) is a rare congenital, thoracic, and vascular anomaly. Although PLSVCs generally do not have a hemodynamic effect, several types of PLSVC and some cardiac anomalies may manifest with clinical symptoms. The presence of PLSVC can render catheterization via left subclavian access difficult when placing a pacemaker or central venous catheter. As such, recognizing a PLSVC that is typically incidentally discovered can prevent complications such as vascular injury. Differentiating vessels found in a similar location as PLSVC is necessary when performing thoracic vascular procedures. This pictorial essay explains the multi-detector CT findings of a PLSVC, and provides a summary of other blood vessels that require differentiation during thoracic vascular procedures.

Study on Driver Condition Monitoring Using 77GHz In-cabin FMCW Radar (77GHz FMCW 인캐빈 레이다를 이용한 운전자 상태모니터링 시스템 연구)

  • Gyeong-Deok Ju;Myeong-Jun Oh;Yong-Myeong Kim;Yun-Seong Jol;Young-Bae Jung
    • Journal of IKEEE
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    • v.28 no.3
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    • pp.296-302
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    • 2024
  • In this paper, we propose a driver condition monitoring system using FMCW in-cabin radar, which is free from wearing inconvenience and privacy issues. Using 77GHz high-precision radar, the system detects changes in eye blinking patterns according to changes in the driving environment and the driver's condition using an adaptive multiple filtering algorithm, and accurately determines drowsy driving by measuring the number of eye blinks and the time it takes to open and close the eyes through the detected data. With the emergence of high-performance radars that are becoming more and more miniaturized, it is possible to embed them in the instrument panel or rearview mirror of the vehicle, and if the driver is judged to be drowsy, it can wake up the driver through an alarm or interlock with the vehicle's driving system to slow down and make an emergency stop to prevent accidents and promote driver safety.