• Title/Summary/Keyword: WAVE 통신

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Characteristics of DC 48[V] telecommunication power supply (DC 48[V] 통신용 전원 장치의 특성)

  • Jung, H.T.;Jo, M.C.;Youn, Y.T.;Kim, J.Y.;Mun, S.P.;Suh, K.Y.
    • Proceedings of the KIEE Conference
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    • 2005.07c
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    • pp.2462-2464
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    • 2005
  • The AC-DC converter, which has three-phase AC power as input and isolated DC power as output is used for the regulated DC power supply of the telecommunication power processing system for several kilowatt class applications. The conventional DC power supply for the telecommunication power system comprises a PWM rectifier with sine-wave shaping input current unity power factor and a DC/DC converter connected to the PWM converter, which obtains DC 48[V]. Since power passes through these two power stage converters, the conversion power loss is difficult to provide high efficiency. To resolve these problems, this paper presents a new PWM rectified as a 1-stage power conversion method. It simulation and experimental results as proved from a Practical point of view that 92.1[%]of conversion efficiency and input current which can meet harmonics regulation of the Class-A in IEC61000-3-3 are achieved.

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삼축 MI 자력계 설치 및 운용

  • Choe, Gyu-Cheol;Lee, Jae-Jin;Hwang, Jeong-A;Jo, Gyeong-Seok;Park, Yeong-Deuk;Lee, Dae-Yeong
    • Bulletin of the Korean Space Science Society
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    • 2010.04a
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    • pp.40.1-40.1
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    • 2010
  • 한국천문연구원 우주과학연구본부 태양우주환경연구그룹은 일본 Tierra Tecnica사의 RFP-523C Overhauser Proton 자력계와 MISYS-09 삼축 MI 자력계를 2009년 11월에 보현산천문대 태양망원경동에 구축하였다. 한국천문연구원은 이미 2007년 11월에 RFP-523C Fluxgate 자력계를 보현산천문대 태양망원경동에 구축하여 K 지수 산출 등의 우주환경예 경보 연구에 활용하고 있다. Fluxgate 자력계는 지자기 3축 성분의 변화량을 측정하는 장비이고 이번에 설치한 Overhauser Proton 자력계는 지자기의 총 자기장을 측정하는 장비이다. 삼축 MI 자력계는 지자기장의wave를 측정하는 장비이다. 기존에 설치한 Fluxgate 자력계와 새로 설치한 Proton 자력계, 삼축 MI 자력계를 연계하여 운용할 경우 우주환경에 의한 지자기장 변화량의 측정 정밀도가 향상되고 지자기장을 효율적으로 관측할 수 있다. 보현산천문대에 구축한 각각의 자력계가 측정한 지자기 자료들은 S-FTP와 Socket 통신을 이용하여 대전에 있는 한국천문연구원 태양우주환경연구그룹의 데이터 서버로 실시간으로 전송되어 저장되고 있다. 데이터 서버로 전송된 지자기 측정 자료들은 한국천문연구원 우주환경감시실에서 모니터링하고 있다.

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Characteristics of DC 48[V] telecommunication power supply (DC 48[V] 통신용 전원 장치의 특성)

  • Jung, H.T.;Jo, M.C.;Youn, Y.T.;Kim, J.Y.;Mun, S.P.;Suh, K.Y.
    • Proceedings of the KIEE Conference
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    • 2005.07b
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    • pp.1820-1822
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    • 2005
  • The AC-DC converter, which has three-phase AC power as input and isolated DC power as output is used for the regulated DC power supply of the telecommunication power processing system for several kilowatt class applications. The conventional DC power supply for the telecommunication power system comprises a PWM rectifier with sine-wave shaping input current unity power factor and a DC/DC converter connected to the PWM converter, which obtains DC 48[V]. Since power passes through these two power stage converters, the conversion power loss is difficult to provide high efficiency. To resolve these problems, this paper presents a new PWM rectified as a 1-stage power conversion method. It simulation and experimental results as proved from a practical point of view that 92.1[%]of conversion efficiency and input current which can meet harmonics regulation of the Class-A in IEC61000-3-3 are achieved.

  • PDF

A microstrip folded compact wideband band-pass filter with wide upper stopband

  • Hoseini, Seyyed Mojtaba Seyyed Najjar;Zaker, Reza;Monfaredi, Khalil
    • ETRI Journal
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    • v.43 no.6
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    • pp.957-965
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    • 2021
  • A miniaturized wideband band-pass filter with a 3-dB fractional bandwidth of 109.3% (1.53 GHz to 5.22 GHz), high out-of-band attenuation greater than 25 dB, and wide upper stopband up to 14 GHz is proposed. The design consists of a dual-composite right/left handed resonator, embedded open-circuited stub, and a pair of quarter-wavelength short-circuited stubs. These elements are coupled in the near distance to form a miniature filter with a compact occupied area of 0.21 λg×0.19 λg (≈ 0.013 cm2). The optimized filter has multitransmission poles in the passband, substantially improving the return loss and insertion loss characteristics. The behavior of the passband and stopband is verified against the results of a lumped element model and matrix analysis with a full-wave moment-based analysis and actual measurements. The results of this verification and a comparison with the performance of filters in other references indicate that the proposed filter is very efficient and applicable to compact microwave systems.

DLDW: Deep Learning and Dynamic Weighing-based Method for Predicting COVID-19 Cases in Saudi Arabia

  • Albeshri, Aiiad
    • International Journal of Computer Science & Network Security
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    • v.21 no.9
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    • pp.212-222
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    • 2021
  • Multiple waves of COVID-19 highlighted one crucial aspect of this pandemic worldwide that factors affecting the spread of COVID-19 infection are evolving based on various regional and local practices and events. The introduction of vaccines since early 2021 is expected to significantly control and reduce the cases. However, virus mutations and its new variant has challenged these expectations. Several countries, which contained the COVID-19 pandemic successfully in the first wave, failed to repeat the same in the second and third waves. This work focuses on COVID-19 pandemic control and management in Saudi Arabia. This work aims to predict new cases using deep learning using various important factors. The proposed method is called Deep Learning and Dynamic Weighing-based (DLDW) COVID-19 cases prediction method. Special consideration has been given to the evolving factors that are responsible for recent surges in the pandemic. For this purpose, two weights are assigned to data instance which are based on feature importance and dynamic weight-based time. Older data is given fewer weights and vice-versa. Feature selection identifies the factors affecting the rate of new cases evolved over the period. The DLDW method produced 80.39% prediction accuracy, 6.54%, 9.15%, and 7.19% higher than the three other classifiers, Deep learning (DL), Random Forest (RF), and Gradient Boosting Machine (GBM). Further in Saudi Arabia, our study implicitly concluded that lockdowns, vaccination, and self-aware restricted mobility of residents are effective tools in controlling and managing the COVID-19 pandemic.

8.2-GHz band radar RFICs for an 8 × 8 phased-array FMCW receiver developed with 65-nm CMOS technology

  • Han, Seon-Ho;Koo, Bon-Tae
    • ETRI Journal
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    • v.42 no.6
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    • pp.943-950
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    • 2020
  • We propose 8.2-GHz band radar RFICs for an 8 × 8 phased-array frequency-modulated continuous-wave receiver developed using 65-nm CMOS technology. This receiver panel is constructed using a multichip solution comprising fabricated 2 × 2 low-noise amplifier phase-shifter (LNA-PS) chips and a 4ch RX front-end chip. The LNA-PS chip has a novel phase-shifter circuit for low-voltage operation, novel active single-to-differential/differential-to-single circuits, and a current-mode combiner to utilize a small area. The LNA-PS chip shows a power gain range of 5 dB to 20 dB per channel with gain control and a single-channel NF of 6.4 dB at maximum gain. The measured result of the chip shows 6-bit phase states with a 0.35° RMS phase error. The input P1 dB of the chip is approximately -27.5 dBm at high gain and is enough to cover the highest input power from the TX-to-RX leakage in the radar system. The gain range of the 4ch RX front-end chip is 9 dB to 30 dB per channel. The LNA-PS chip consumes 82 mA, and the 4ch RX front-end chip consumes 97 mA from a 1.2 V supply voltage. The chip sizes of the 2 × 2 LNA-PS and the 4ch RX front end are 2.39 mm × 1.3 mm and 2.42 mm × 1.62 mm, respectively.

A Comprehensive Literature Study on Precision Agriculture: Tools and Techniques

  • Bh., Prashanthi;A.V. Praveen, Krishna;Ch. Mallikarjuna, Rao
    • International Journal of Computer Science & Network Security
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    • v.22 no.12
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    • pp.229-238
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    • 2022
  • Due to digitization, data has become a tsunami in almost every data-driven business sector. The information wave has been greatly boosted by man-to-machine (M2M) digital data management. An explosion in the use of ICT for farm management has pushed technical solutions into rural areas and benefited farmers and customers alike. This study discusses the benefits and possible pitfalls of using information and communication technology (ICT) in conventional farming. Information technology (IT), the Internet of Things (IoT), and robotics are discussed, along with the roles of Machine learning (ML), Artificial intelligence (AI), and sensors in farming. Drones are also being studied for crop surveillance and yield optimization management. Global and state-of-the-art Internet of Things (IoT) agricultural platforms are emphasized when relevant. This article analyse the most current publications pertaining to precision agriculture using ML and AI techniques. This study further details about current and future developments in AI and identify existing and prospective research concerns in AI for agriculture based on this thorough extensive literature evaluation.

Visualization of Motor Unit Activities in a Single-channel Surface EMG Signal

  • Hidetoshi Nagai
    • International journal of advanced smart convergence
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    • v.12 no.3
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    • pp.211-220
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    • 2023
  • Surface electromyography (sEMG) is a noninvasive method used to capture electrically muscle activity, which can be easily measured even during exercise. The basic unit of muscle activity is the motor unit, and because an sEMG signal is a superposition of motor unit action potentials, analysis of muscle activity using sEMG should ideally be done from the perspective of motor unit activity. However, conventional techniques can only evaluate sEMG signals based on abstract signal features, such as root-mean-square (RMS) and mean-power-frequency (MPF), and cannot detect individual motor unit activities from an sEMG signal. On the other hand, needle EMG can only capture the activity of a few local motor units, making it extremely difficult to grasp the activity of the entire muscle. Therefore, in this study, a method to visualize the activities of motor units in a single-channel sEMG signal by relocating wavelet coefficients obtained by redundant discrete wavelet analysis is proposed. The information obtained through this method resides in between the information obtained through needle EMG and the information obtained through sEMG using conventional techniques.

Resource scheduling scheme for 5G mmWave CP-OFDM based wireless networks with delay and power allocation optimizations

  • Marcus Vinicius G. Ferreira;Flavio H. T. Vieira;Alisson A. Cardoso
    • ETRI Journal
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    • v.45 no.1
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    • pp.45-59
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    • 2023
  • In this paper, to optimize the average delay and power allocation (PA) for system users, we propose a resource scheduling scheme for wireless networks based on Cyclic Prefix Orthogonal Frequency Division Multiplexing (CP-OFDM) according to the first fifth-generation standards. For delay minimization, we solve a throughput maximization problem that considers CPOFDM systems with carrier aggregation (CA). Regarding PA, we consider an approach that involves maximizing goodput using an effective signal-to-noise ratio. An algorithm for jointly solving delay minimization through computation of required user rates and optimizing the power allocated to users is proposed to compose the resource allocation approach. In wireless network simulations, we consider a scenario with the following capabilities: CA, 256-Quadrature Amplitude Modulation, millimeter waves above 6 GHz, and a radio frame structure with 120 KHz spacing between the subcarriers. The performance of the proposed resource allocation algorithm is evaluated and compared with those of other algorithms from the literature using computational simulations in terms of various Quality of Service parameters, such as the throughput, delay, fairness index, and loss rate.

Orthogonal variable spreading factor encoded unmanned aerial vehicle-assisted nonorthogonal multiple access system with hybrid physical layer security

  • Omor Faruk;Joarder Jafor Sadiqu;Kanapathippillai Cumanan;Shaikh Enayet Ullah
    • ETRI Journal
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    • v.45 no.2
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    • pp.213-225
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    • 2023
  • Physical layer security (PLS) can improve the security of both terrestrial and nonterrestrial wireless communication networks. This study proposes a simplified framework for nonterrestrial cyclic prefixed orthogonal variable spreading factor (OVSF)-encoded multiple-input and multiple-output nonorthogonal multiple access (NOMA) systems to ensure complete network security. Various useful methods are implemented, where both improved sine map and multiple parameter-weighted-type fractional Fourier transform encryption schemes are combined to investigate the effects of hybrid PLS. In addition, OVSF coding with power domain NOMA for multi-user interference reduction and peak-toaverage power ratio (PAPR) reduction is introduced. The performance of $\frac{1}{2}$-rated convolutional, turbo, and repeat and accumulate channel coding with regularized zero-forcing signal detection for forward error correction and improved bit error rate (BER) are also investigated. Simulation results ratify the pertinence of the proposed system in terms of PLS and BER performance improvement with reasonable PAPR.