• Title/Summary/Keyword: System generator

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Analysis of COSPAS-SARSAT 406 MHz Personal Locator Beacon Specification (COSPAS-SARSAT 406 MHz 개인용 탐색구조 단말기의 기술기준 분석)

  • Jeong, Gi-ryong;Jeong, Seong-hoon;Lim, Jong-gun
    • Journal of Advanced Navigation Technology
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    • v.22 no.6
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    • pp.514-521
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    • 2018
  • COSPAS-SARSAT 406 MHz emergency beacons include ELTs for aviation, EPIRBs for maritime, and PLBs for individuals in distress. They are used to sending messages encoded on 406 MHzdistress frequency and sending alertsfor search and rescue in distress. C/S T.001 and T.018 are COSPAS-SARSAT technical documents. They include basic technical information needed for developing beacons, howmessages are constructed, and test methods for type approval. COSPAS-SARSAT systems that use existing low earth orbit (LEO) and geostationary earth orbit (GEO) satellites do not have a return link service (RLS). So, the survivors could not confirm whether the distress signal was sending or not. However, a new medium earth orbit (MEO)satellite system has been added to thissystem, allowing confirmation through the RLS function. This paper analyzed C/S T.001 and T.018 needed to develop navigation structuresthat incorporated improved PLB of 406 MHz, a homing signal generator of 121.5 MHz, and a VHF AM transmitter for aviation of 243 MHz.

Development of Energy Harvesting Technologies Platform for Self-Power Rechargeable Pacemaker Medical Device. (자가발전 심장박동기를 위한 에너지 수확 플랫폼 개발)

  • Park, Hyun-Moon;Lee, Jung-Chul;Kim, Byunng-Soo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.14 no.3
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    • pp.619-626
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    • 2019
  • The advances of semiconductor and circuitry technology dovetailed with nano processing techniques have further enhanced micro-miniaturization, sensitivity, longevity and reliability in MID(Medical Implant Device). Nevertheless, one of the remaining challenges is whether power can sufficiently and continuously be supplied for the operation of the MID. Self-powered MID that harvest biomechanical energy from human motion, respiratory and muscle movement are part of a paradigm shift. In this paper, we developed a rechargeable pacemaker through self-power generation with the triboelectric nanogenerator. We demonstrate a fully implanted pacemaker based on an implantable triboelectric nanogenerator, which act as a storage as well as active movement on a large-animal(dog) scale. The self-power pacemaker harvested from animal motion is 2.47V, which is higher than the required pacemaker device sensing voltage(1.35V).

Investigations of Multi-Carrier Pulse Width Modulation Schemes for Diode Free Neutral Point Clamped Multilevel Inverters

  • Chokkalingam, Bharatiraja;Bhaskar, Mahajan Sagar;Padmanaban, Sanjeevikumar;Ramachandaramurthy, Vigna K.;Iqbal, Atif
    • Journal of Power Electronics
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    • v.19 no.3
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    • pp.702-713
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    • 2019
  • Multilevel Inverters (MLIs) are widely used in medium voltage applications due to their various advantages. In addition, there are numerous types of MLIs for such applications. However, the diode-less 3-level (3L) T-type Neutral Point Clamped (NPC) MLI is the most advantageous due to its low conduction losses and high potential efficiency. The power circuit of a 3L T-type NPC is derived by the conventional two level inverter by a slight modification. In order to explore the MLI performance for various Pulse Width Modulation (PWM) schemes, this paper examines the operation of a 3L (five level line to line) T-type NPC MLI for various types of Multi-Carriers Pulse Width Modulation (MCPWM) schemes. These PWM schemes are compared in terms of their voltage profile, total harmonic distortion (THD) and conduction losses. In addition, a 3L T-type NPC MLI is also compared with the conventional NPC in terms of number of switches, clamping diodes, main diodes and capacitors. Moreover, the capacitor-balancing problem is also investigated using the Neutral Point Fluctuation (NPF) method with all of the MCPWM schemes. A 1kW 3L T-type NPC MLI is simulated in MATLAB/Simulink and implemented experimentally and its performance is tested with a 1HP induction motor. The results indicate that the 3L T-type NPC MLI has better performance than conventional NPC MLIs.

A Security SoC supporting ECC based Public-Key Security Protocols (ECC 기반의 공개키 보안 프로토콜을 지원하는 보안 SoC)

  • Kim, Dong-Seong;Shin, Kyung-Wook
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.11
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    • pp.1470-1476
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    • 2020
  • This paper describes a design of a lightweight security system-on-chip (SoC) suitable for the implementation of security protocols for IoT and mobile devices. The security SoC using Cortex-M0 as a CPU integrates hardware crypto engines including an elliptic curve cryptography (ECC) core, a SHA3 hash core, an ARIA-AES block cipher core and a true random number generator (TRNG) core. The ECC core was designed to support twenty elliptic curves over both prime field and binary field defined in the SEC2, and was based on a word-based Montgomery multiplier in which the partial product generations/additions and modular reductions are processed in a sub-pipelining manner. The H/W-S/W co-operation for elliptic curve digital signature algorithm (EC-DSA) protocol was demonstrated by implementing the security SoC on a Cyclone-5 FPGA device. The security SoC, synthesized with a 65-nm CMOS cell library, occupies 193,312 gate equivalents (GEs) and 84 kbytes of RAM.

A Study of Zero-Knowledge Proof for Transaction Improvement based Blockchain (블록체인 기반의 트랜잭션 향상을 위한 영지식 증명 연구)

  • Ahn, Byeongtae
    • Journal of Digital Convergence
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    • v.19 no.6
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    • pp.233-238
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    • 2021
  • Recently, blockchain technology accumulates and stores all transactions. Therefore, in order to verify the contents of all transactions, the data itself is compressed, but the scalability is limited. In addition, since a separate verification algorithm is used for each type of transaction, the verification burden increases as the size of the transaction increases. Existing blockchain cannot participate in the network because it does not become a block sink by using a server with a low specification. Due to this problem, as the time passes, the data size of the blockchain network becomes larger and it becomes impossible to participate in the network except for users with abundant resources. Therefore, in this paper, we are improved transaction as studied the zero knowledge proof algorithm for general operation verification. In this system, the design of zero-knowledge circuit generator capable of general operation verification and optimization of verifier and prover were also conducted.

A Case Study on Commercialization of Appropriate Technology in Lao PDR: Focusing on Lao-Korea Science and Technology Center (라오스 적정기술 사업화 사례연구: 라오스-한국 적정과학기술거점센터를 중심으로)

  • Baek, Doo-Joo;Yun, Chi-Young;Oh, Yong-Jun
    • Journal of Appropriate Technology
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    • v.7 no.2
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    • pp.225-234
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    • 2021
  • The purpose of this paper is to examine commercialization model of appropriate technology through the case of the Lao-Korea Science and Technology Center (LKSTC). LKSTC has developed washing, water treatment, and sterilization technology in the agrifood sector and three types of pico-hydro generator, Pico-solar hybrid system, and energy remote monitoring technology in the renewable energy sector. Commercialization of appropriate technology was successfully carried out through the establishment of Kaipan community business, school enterprises, and social enterprise. The policy implications are as follows. First, the commercialization of appropriate technology in developing countries should enhance the linkage with the regional development policies of the recipient countries. Second, in order to minimize market risk, innovative technology development and local startup networks should be properly established. Finally, the mid and long term efforts are needed to increase the sustainability of the business.

A Systems Engineering Approach for Predicting NPP Response under Steam Generator Tube Rupture Conditions using Machine Learning

  • Tran Canh Hai, Nguyen;Aya, Diab
    • Journal of the Korean Society of Systems Engineering
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    • v.18 no.2
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    • pp.94-107
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    • 2022
  • Accidents prevention and mitigation is the highest priority of nuclear power plant (NPP) operation, particularly in the aftermath of the Fukushima Daiichi accident, which has reignited public anxieties and skepticism regarding nuclear energy usage. To deal with accident scenarios more effectively, operators must have ample and precise information about key safety parameters as well as their future trajectories. This work investigates the potential of machine learning in forecasting NPP response in real-time to provide an additional validation method and help reduce human error, especially in accident situations where operators are under a lot of stress. First, a base-case SGTR simulation is carried out by the best-estimate code RELAP5/MOD3.4 to confirm the validity of the model against results reported in the APR1400 Design Control Document (DCD). Then, uncertainty quantification is performed by coupling RELAP5/MOD3.4 and the statistical tool DAKOTA to generate a large enough dataset for the construction and training of neural-based machine learning (ML) models, namely LSTM, GRU, and hybrid CNN-LSTM. Finally, the accuracy and reliability of these models in forecasting system response are tested by their performance on fresh data. To facilitate and oversee the process of developing the ML models, a Systems Engineering (SE) methodology is used to ensure that the work is consistently in line with the originating mission statement and that the findings obtained at each subsequent phase are valid.

Investigation of the Time Required for General Radiography (일반 방사선검사의 소요 시간 실태조사)

  • Lim, Woo-Taek;Joo, Young-Cheol;Kim, Yon-Min
    • Journal of radiological science and technology
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    • v.45 no.3
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    • pp.255-262
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    • 2022
  • In this study, by analyzing the examination time for each procedure, the appropriate workload of radiologic technologist is analyzed based on the actual examination time in the current clinical setting by comparing with the examination time in the radiology field setting of the health insurance review and assessment service. In addition, this result is introduced into the calculation of relate value units; it was attempted to provide accurate and objective evidence in the field of radiology. From May 2020 to December 2021, the study retrospectively investigated the examination times recorded in the electronic medical record and picture archiving and communication system at 5 tertiary general hospitals and 1 general hospital. The total of 16 examination parts are applied in this study, including the head, sinuses, chest, ribs, abdomen, pelvis, cervical, thoracic, lumbar, shoulder, elbow, wrist, hip, femur, knee, and ankle. The minimum number of images that could be obtained per radiation generator was 3.6 images for one hour, and the maximum was 6.4 images. When 50% median of procedure time is calculated, the minimum number of images that could be obtained was 16.7 images and maximum was 35.3 images; in addition, minimum examination time is 1.7 minutes, and maximum time is 3.6 minutes. In conclusion, it is judged that there will be insufficient explanation time for basic infection instructions such as hand hygiene during the examinations in current clinical practice. It is believed that radiologic technologists will contribute to providing higher-quality of radiation examination services to the public by complying with guidelines for work and setting appropriate workload on their own.

A Study on Hangul Handwriting Generation and Classification Mode for Intelligent OCR System (지능형 OCR 시스템을 위한 한글 필기체 생성 및 분류 모델에 관한 연구)

  • Jin-Seong Baek;Ji-Yun Seo;Sang-Joong Jung;Do-Un Jeong
    • Journal of the Institute of Convergence Signal Processing
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    • v.23 no.4
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    • pp.222-227
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    • 2022
  • In this paper, we implemented a Korean text generation and classification model based on a deep learning algorithm that can be applied to various industries. It consists of two implemented GAN-based Korean handwriting generation models and CNN-based Korean handwriting classification models. The GAN model consists of a generator model for generating fake Korean handwriting data and a discriminator model for discriminating fake handwritten data. In the case of the CNN model, the model was trained using the 'PHD08' dataset, and the learning result was 92.45. It was confirmed that Korean handwriting was classified with % accuracy. As a result of evaluating the performance of the classification model by integrating the Korean cursive data generated through the implemented GAN model and the training dataset of the existing CNN model, it was confirmed that the classification performance was 96.86%, which was superior to the existing classification performance.

PID controller design based on direct synthesis for set point speed control of gas turbine engine in warships (함정용 가스터빈 엔진의 속도 추종제어를 위한 DS 기반의 PID 제어기 설계)

  • Jong-Phil KIM;Ki-Tak RYU;Sang-Sik LEE;Yun-Hyung LEE
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.59 no.1
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    • pp.55-64
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    • 2023
  • Gas turbine engines are widely used as prime movers of generator and propulsion system in warships. This study addresses the problem of designing a DS-based PID controller for speed control of the LM-2500 gas turbine engine used for propulsion in warships. To this end, we first derive a dynamic model of the LM-2500 using actual sea trail data. Next, the PRC (process reaction curve) method is used to approximate the first-order plus time delay (FOPTD) model, and the DS-based PID controller design technique is proposed according to approximation of the time delay term. The proposed controller conducts set-point tracking simulation using MATLAB (2016b), and evaluates and compares the performance index with the existing control methods. As a result of simulation at each operating point, the proposed controller showed the smallest in %OS, which means that the rpm does not change rapidly. In addition, IAE and IAC were also the smallest, showing the best result in error performance and controller effort.