• Title/Summary/Keyword: Cycle frequency

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A 20 W GaN-based Power Amplifier MMIC for X-band Radar Applications

  • Lee, Bok-Hyung;Park, Byung-Jun;Choi, Sun-Youl;Lim, Byeong-Ok;Go, Joo-Seoc;Kim, Sung-Chan
    • Journal of IKEEE
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    • v.23 no.1
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    • pp.181-187
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    • 2019
  • In this paper, we demonstrated a power amplifier monolithic microwave integrated circuit (MMIC) for X-band radar applications. It utilizes commercial $0.25{\mu}m$ GaN-based high electron mobility transistor (HEMT) technology and delivers more than 20 W of output power. The developed GaN-based power amplifier MMIC has small signal gain of over 22 dB and saturated output power of over 43.3 dBm (21.38 W) in a pulse operation mode with pulse width of $200{\mu}s$ and duty cycle of 4% over the entire band of 9 to 10 GHz. The chip dimensions are $3.5mm{\times}2.3mm$, generating the output power density of $2.71W/mm^2$. Its power added efficiency (PAE) is 42.6-50.7% in the frequency bandwidth from 9 to 10 GHz. The developed GaN-based power amplifier MMIC is expected to be applied in a variety of X-band radar applications.

Estimation and Classification of COVID-19 through Climate Change: Focusing on Weather Data since 2018 (기후변화를 통한 코로나바이러스감염증-19 추정 및 분류: 2018년도 이후 기상데이터를 중심으로)

  • Kim, Youn-Su;Chang, In-Hong;Song, Kwang-Yoon
    • Journal of Integrative Natural Science
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    • v.14 no.2
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    • pp.41-49
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    • 2021
  • The causes of climate change are natural and artificial. Natural causes include changes in temperature and sunspot activities caused by changes in solar radiation due to large-scale volcanic activities, while artificial causes include increased greenhouse gas concentrations and land use changes. Studies have shown that excessive carbon use among artificial causes has accelerated global warming. Climate change is rapidly under way because of this. Due to climate change, the frequency and cycle of infectious disease viruses are greater and faster than before. Currently, the world is suffering greatly from coronavirus infection-19 (COVID-19). Korea is no exception. The first confirmed case occurred on January 20, 2020, and the number of infected people has steadily increased due to several waves since then, and many confirmed cases are occurring in 2021. In this study, we conduct a study on climate change before and after COVID-19 using weather data from Korea to determine whether climate change affects infectious disease viruses through logistic regression analysis. Based on this, we want to classify before and after COVID-19 through a logistic regression model to see how much classification rate we have. In addition, we compare monthly classification rates to see if there are seasonal classification differences.

Data-Driven Modelling of Damage Prediction of Granite Using Acoustic Emission Parameters in Nuclear Waste Repository

  • Lee, Hang-Lo;Kim, Jin-Seop;Hong, Chang-Ho;Jeong, Ho-Young;Cho, Dong-Keun
    • Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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    • v.19 no.1
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    • pp.75-85
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    • 2021
  • Evaluating the quantitative damage to rocks through acoustic emission (AE) has become a research focus. Most studies mainly used one or two AE parameters to evaluate the degree of damage, but several AE parameters have been rarely used. In this study, several data-driven models were employed to reflect the combined features of AE parameters. Through uniaxial compression tests, we obtained mechanical and AE-signal data for five granite specimens. The maximum amplitude, hits, counts, rise time, absolute energy, and initiation frequency expressed as the cumulative value were selected as input parameters. The result showed that gradient boosting (GB) was the best model among the support vector regression methods. When GB was applied to the testing data, the root-mean-square error and R between the predicted and actual values were 0.96 and 0.077, respectively. A parameter analysis was performed to capture the parameter significance. The result showed that cumulative absolute energy was the main parameter for damage prediction. Thus, AE has practical applicability in predicting rock damage without conducting mechanical tests. Based on the results, this study will be useful for monitoring the near-field rock mass of nuclear waste repository.

Analysis of Clinical Research Trends for Acupotomy Treatment of Peripheral Facial Palsy

  • Jeon, Seok Hee;Choi, Ji Min;Yoo, Jae Hee;Shin, Jeong Cheol
    • Journal of Acupuncture Research
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    • v.38 no.4
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    • pp.276-283
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    • 2021
  • The purpose of this review was to investigate acupotomy treatment for peripheral facial palsy. By reviewing recent clinical trends, this may contribute to standardizing acupotomy treatment methods. There were 7 randomized controlled trials and 6 case series using acupotomy treatment for peripheral facial palsy published between January 01, 2014 and April 05, 2021, which were retrieved from 9 online databases. The number and characteristics of participants, main treatment sites, combination treatments, size of acupotomy needle, frequency and total period of treatment, evaluation indices, efficacy, and adverse events were analyzed. "Tender point or induration," "infraorbical foramen," and "buccal mucosa" were the most used treatment sites. The sizes of acupotomy needles varied from 20 mm to 80 mm in length, and 0.35 mm to 1.0 mm in diameter. One treatment cycle was performed every 3 to 5-7 days, and the number of treatments per treatment session ranged from 3 to 5-9 cycles. The results were evaluated using 1 to 4 evaluation indices and 9 different evaluation indices were used overall. The efficacy rate was the most used index, followed by the House-Brackmann grade, and electrocardiography. The "Risk of Bias 2," categorized most studies as having "some concerns." There were few adverse events reported.

Numerical analysis of temperature fluctuation characteristics associated with thermal striping phenomena in the PGSFR

  • Jung, Yohan;Choi, Sun Rock;Hong, Jonggan
    • Nuclear Engineering and Technology
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    • v.54 no.10
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    • pp.3928-3942
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    • 2022
  • Thermal striping is a complex thermal-hydraulic phenomenon caused by fluid temperature fluctuations that can also cause high-cycle thermal fatigue to the structural wall of sodium-cooled fast reactors (SFRs). Numerical simulations using large-eddy simulation (LES) were performed to predict and evaluate the characteristics of the temperature fluctuations related to thermal striping in the upper internal structure (UIS) of the prototype generation-IV sodium-cooled fast reactor (PGSFR). Specific monitoring points were established for the fluid region near the control rod driving mechanism (CRDM) guide tubes, CRDM guide tube walls, and UIS support plates, and the normalized mean and fluctuating temperatures were investigated at these points. It was found that the location of the maximum amplitude of the temperature fluctuations in the UIS was the lowest end of the inner wall of the CRDM guide tube, and the maximum value of the normalized fluctuating temperatures was 17.2%. The frequency of the maximum temperature fluctuation on the CRDM guide tube walls, which is an important factor in thermal striping, was also analyzed using the fast Fourier transform analysis. These results can be used for the structural integrity evaluation of the UIS in SFR.

Design of 24GHz Patch Array Antenna for Detecting Obstacles (장애물 감지용 24GHz 대역 패치 배열 안테나 설계)

  • Lee, Kwang;Kim, Young-Su
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.6
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    • pp.1075-1080
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    • 2021
  • In this paper, we designed a 24.4GHz 2-channel TX and 4-channel RX patch array antenna mounted on a short-range vehicle radar system to simultaneously measure the range and speed of a single object within a single measurement cycle. The antenna was designed and fabricated using Rogers' RO4350B(εr=3.48, 0.5T) board. Through measurement, it was confirmed that the design specifications of antenna gain (> 10dBi or more) and radiation pattern (Elevation HPBW > 10deg.) were satisfied at 24.4 GHz frequency.

Optimizing Energy-Latency Tradeoff for Computation Offloading in SDIN-Enabled MEC-based IIoT

  • Zhang, Xinchang;Xia, Changsen;Ma, Tinghuai;Zhang, Lejun;Jin, Zilong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.12
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    • pp.4081-4098
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    • 2022
  • With the aim of tackling the contradiction between computation intensive industrial applications and resource-weak Edge Devices (EDs) in Industrial Internet of Things (IIoT), a novel computation task offloading scheme in SDIN-enabled MEC based IIoT is proposed in this paper. With the aim of reducing the task accomplished latency and energy consumption of EDs, a joint optimization method is proposed for optimizing the local CPU-cycle frequency, offloading decision, and wireless and computation resources allocation jointly. Based on the optimization, the task offloading problem is formulated into a Mixed Integer Nonlinear Programming (MINLP) problem which is a large-scale NP-hard problem. In order to solve this problem in an accessible time complexity, a sub-optimal algorithm GPCOA, which is based on hybrid evolutionary computation, is proposed. Outcomes of emulation revel that the proposed method outperforms other baseline methods, and the optimization result shows that the latency-related weight is efficient for reducing the task execution delay and improving the energy efficiency.

The Effect of Microcurrent Stimulation on Pain and Quality of Life in Women with Primary Dysmenorrhea

  • Minkyoung Kwon;Wonjae Choi
    • Physical Therapy Rehabilitation Science
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    • v.12 no.3
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    • pp.293-299
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    • 2023
  • Objective: This study aimed to investigate the potential benefits of microcurrent stimulation as a non-invasive therapeutic approach for managing pain and improving the quality of life in women suffering from primary dysmenorrhea. Design: A case study. Methods: This study was conducted, involving a cohort of 6 women diagnosed with primary dysmenorrhea, aged between 20 to 30 years. Participants were received microcurrent stimulation using low-intensity microcurrents for 30 minutes every day for 4 weeks. The intensity of microcurrent stimulation was 25 μA and the frequency was 8 Hz. The intervention was administered between the menstruations, with pain intensity and quality of life being assessed at baseline, and then at the end of menstrual cycle. Pain intensity was evaluated using a visual analog scale (VAS) and menstrual symptom questionnaire (MSQ), while the quality of life was assessed through the stress response inventory (SRI), state trait anxiety inventory (STAI), center for epidemiologic studies depression (CES-D), and menstrual distress questionnaire (MEDI-Q). Results: After the intervention, participants demonstrated a statistically significant reduction in pain intensity, as evidenced by improved VAS scores (p<0.05). However, the changes in MSQ scores did not reach statistical significance. Regarding quality of life measures, no statistically significant differences were found in the SRI, STAI, CES-D, and MEDI-Q scores after the intervention (p>0.05). Conclusions: This study suggest that microcurrent stimulation holds promise as a potential treatment option for alleviating pain associated with primary dysmenorrhea.

Rolling Test Simulation of Sea Transport of Spent Nuclear Fuel Under Normal Transport Conditions

  • JaeHoon Lim;Woo-seok Choi
    • Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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    • v.21 no.4
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    • pp.439-450
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    • 2023
  • In this study, the impact load resulting from collision with the fuel rods of surrogate spent nuclear fuel (SNF) assemblies was measured during a rolling test based on an analysis of the data from surrogate SNF-loaded sea transportation tests. Unfortunately, during the sea transportation tests, excessive rolling motion occurred on the ship during the test, causing the assemblies to slip and collide with the canister. Hence, we designed and conducted a separate test to simulate rolling in sea transportation to determine whether such impact loads can occur under normal conditions of SNF transport, with the test conditions for the fuel assembly to slide within the basket experimentally determined. Rolling tests were conducted while varying the rolling angle and frequency to determine the angles and frequencies at which the assemblies experienced slippage. The test results show that slippage of SNF assemblies can occur at angles of approximately 14° or greater because of rolling motion, which can generate impact loads. However, this result exceeds the conditions under which a vessel can depart for coastal navigation, thus deviating from the normal conditions required for SNF transport. Consequently, it is not necessary to consider such loads when evaluating the integrity of SNFs under normal transportation conditions.

EXPLORING POTENTIAL SUCCESS FACTORS FOR PROCUREMENT OF PRIVATELY FINANCED INFRASTRUCTURE

  • Xiao-Hua Jin;Chunlu Liu;Jian Zuo;Guomin Zhang
    • International conference on construction engineering and project management
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    • 2011.02a
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    • pp.132-141
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    • 2011
  • Australia has joined many governments to adopt public-private partnership (PPP) as a major strategy for procuring infrastructure for decades. However, failures have occurred although the market has been considered to be a mature and sophisticated one. Failures have typically been traced back to inappropriate economic evaluation and a lack of value-for-money. In particular, a literature review has identified that there was no holistic consideration on the evaluation of procurement transactions of PPP projects. The transaction costs of PPPs were not handled properly. In this paper, theories of transaction cost economics are proposed for the purpose of such a holistic institutional economic evaluation. These theories are analysed in order to identify potential critical success factors for a strategic infrastructure procurement framework. The potential critical success factors are identified and grouped into a number of categories that match the theories of transaction cost economics. These categories include (1) Asset Specificity, (2) Organizational Capability, (3) Transaction Frequency, (4) Behavioural Uncertainty, and (5) Environmental Uncertainty. These potential critical success factors may be subject to an empirical test in the future. The proposed framework will offer decision makers with an insight into project life cycle economic outcomes needed to successfully deliver PPPs.

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