• Title/Summary/Keyword: Power performance test

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Development of the Path Generation and Control System for Unmanned Weeding Robot in Apple Orchards (사과 과원 무인 제초를 위한 작업 경로 생성 및 경로 제어 시스템 개발)

  • Jintack Jeon;Hoseung Jang;Changju Yang;Kyoung-do Kwon;Youngki Hong;Gookhwan Kim
    • Journal of Drive and Control
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    • v.20 no.4
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    • pp.27-34
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    • 2023
  • Weeding in orchards is closely associated with productivity and quality. The customary weeding process is both labor-intensive and time-consuming. To solve the problems, there is need for automation of agricultural robots and machines in the agricultural field. On the other hand, orchards have complicated working areas due to narrow spaces between trees and amorphous terrain. Therefore, it is necessary to develop customized robot technology for unmanned weeding work within the department. This study developed a path generation and path control method for unmanned weeding according to the orchard environment. For this, the width of the weeding span, the number of operations, and the width of the weeding robot were used as input parameters for the orchard environment parameters. To generate a weeding path, a weeding robot was operated remotely to obtain GNSS-based location data along the superheated center line, and a driving performance test was performed based on the generated path. From the results of orchard field tests, the RMSE in weeding period sections was measured at 0.029 m, with a maximum error of 0.15 m. In the steering period within row and steering to the next row sections, the RMSE was 0.124 m, and 0.047 m, respectively.

Relationship networks among nurses in acute nursing care units (종합병원 간호단위의 간호사 관계 네트워크 연구)

  • Park, Seungmi;Park, Eun-Jun
    • The Journal of Korean Academic Society of Nursing Education
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    • v.30 no.2
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    • pp.182-191
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    • 2024
  • Purpose: The purpose of this study was to explore the characteristics of social networks among registered nurses in acute nursing care units. Methods: This study used a survey design. Four nursing units from two acute hospitals were selected using a convenience method, and 83 nurses from those nursing units participated in the study in July 2022. The positive influences among nurses included friendship, collaboration, advice, and referent networks, and the negative influences included avoidance and bullying networks. Using the NetMiner program, the k-means clustering technique was applied to create groups of nodes with similar characteristics. The general characteristics of the participants were analyzed by mean, standard deviation, frequency, and ANOVA or chi-squared test. Results: As a result of dividing the 83 nurse participants into four clusters, positive influencers, silent peers, unwelcome peers, and active bullies were identified. Positive influence group nurses were frequently mentioned in the friendship, collaboration, advice, and referent networks. On the other hand, nurses in the unwelcome group and the active bullying group were frequently mentioned in the avoidance and bullying networks. Conclusion: Social networks that have a positive or negative impact on nursing performance are created through different relationships between nurses. Nurse managers can use the findings to create a more supportive and collaborative environment. Further research is needed to develop intervention programs to improve interactions and relationships between fellow nurses.

Development of Rice Yield Prediction System of Head-Feed Type Combine Harvester (자탈형 콤바인의 실시간 벼 수확량 예측 시스템 개발)

  • Sang Hee Lee;So Young Shin;Deok Gyu Choi;Won-Kyung Kim;Seok Pyo Moon;Chang Uk Cheon;Seok Ho Park;Youn Koo Kang;Sung Hyuk Jang
    • Journal of Drive and Control
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    • v.21 no.2
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    • pp.36-43
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    • 2024
  • The yield is basic and necessary information in precision agriculture that reduces input resources and enhances productivity. Yield information is important because it can be used to set up farming plans and evaluate farming results. Yield monitoring systems are commercialized in the United States and Japan but not in Korea. Therefore, such a system must be developed. This study was conducted to develop a yield monitoring system that improved performance by correcting a previously developed flow sensor using a grain tank-weighing system. An impact-plated type flow sensor was installed in a grain tank where grains are placed, and grain tank-weighing sensors were installed under the grain tank to estimate the weight of the grain inside the tank. The grain flow rate and grain weight prediction models showed high correlations, with coefficient of determinations (R2) of 0.9979 and 0.9991, respectively. A main controller of the yield monitoring system that calculated the real-time yield using a sensor output value was also developed and installed in a combine harvester. Field tests of the combine harvester yield monitoring system were conducted in a rice paddy field. The developed yield monitoring system showed high accuracy with an error of 0.13%. Therefore, the newly developed yield monitoring system can be used to predict grain weight with high accuracy.

Harnessing the Power of Voice: A Deep Neural Network Model for Alzheimer's Disease Detection

  • Chan-Young Park;Minsoo Kim;YongSoo Shim;Nayoung Ryoo;Hyunjoo Choi;Ho Tae Jeong;Gihyun Yun;Hunboc Lee;Hyungryul Kim;SangYun Kim;Young Chul Youn
    • Dementia and Neurocognitive Disorders
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    • v.23 no.1
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    • pp.1-10
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    • 2024
  • Background and Purpose: Voice, reflecting cerebral functions, holds potential for analyzing and understanding brain function, especially in the context of cognitive impairment (CI) and Alzheimer's disease (AD). This study used voice data to distinguish between normal cognition and CI or Alzheimer's disease dementia (ADD). Methods: This study enrolled 3 groups of subjects: 1) 52 subjects with subjective cognitive decline; 2) 110 subjects with mild CI; and 3) 59 subjects with ADD. Voice features were extracted using Mel-frequency cepstral coefficients and Chroma. Results: A deep neural network (DNN) model showed promising performance, with an accuracy of roughly 81% in 10 trials in predicting ADD, which increased to an average value of about 82.0%±1.6% when evaluated against unseen test dataset. Conclusions: Although results did not demonstrate the level of accuracy necessary for a definitive clinical tool, they provided a compelling proof-of-concept for the potential use of voice data in cognitive status assessment. DNN algorithms using voice offer a promising approach to early detection of AD. They could improve the accuracy and accessibility of diagnosis, ultimately leading to better outcomes for patients.

A Study on the Step-up DC-DC Converter for PV System Application Under Variable Input Voltage Condition (가변 입력 전압 조건하에서 태양광 시스템 적용을 위한 승압형 DC-DC 컨버터 연구)

  • Ju-Yeop Lee;Se-Cheon Oh;Il-Hyeong Jo;Ye-Jin Kim;Yun-Seok Ko
    • The Journal of the Korea institute of electronic communication sciences
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    • v.19 no.4
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    • pp.677-684
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    • 2024
  • In this paper, the design method of a step-up DC-DC converter based on PWM control was studied for solar power system application. The operating principle of the switching mode step-up type DC-DC converter was analyzed and the basic design method was studied. For photovoltaic system application, an output voltage feedback control algorithm based on PWM control was developed to enable the converter's output voltage to follow the target voltage under variable input conditions. As a procedure to verify the effectiveness of the proposed algorithm, a prototype of a step-up DC-DC converter with a single feedback output voltage was designed and made by boosting the input voltage DC 10V to DC 30V. In experiments with prototypes, it was confirmed that the output voltage of the oscilloscope and LCD accurately followed the target output voltage. In the performance evaluation test, it was confirmed that the output voltage of the oscilloscope and LCD accurately followed the target output voltage by showing an error rate within 1 [%] of the reference voltage.

Field Test of Harvesting Mechanization Technology of Onion at Shinan Area (신안 지역에서의 양파 기계 수확 작업체계 실증시험)

  • Sang Hee Lee;Won-Kyung Kim;Jae Won Eo;Sang Bong Lee;Deok Gyu Choi;Seok Ho Park;Youn Koo Kang;Chang Uk Cheon
    • Journal of Drive and Control
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    • v.21 no.3
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    • pp.20-27
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    • 2024
  • This study aimed to evaluate the impact of mechanizing onion harvesting on labor reduction and work efficiency in Shinan Area. The mechanized harvesting system comprised a stem cutter, digging harvester, and collector. The field tests showed that the average residual stem length after using the stem cutter was 13.22±5.01 cm, with a stem cutting ratio of 91.3% and a damage ratio of 0%. The digging harvester achieved a digging ratio of 100% and a damage ratio of 1.2%, while the collector's damage ratio was 4.1%, loss ratio was 2.7%, and debris mixing ratio was 3.2%. The total working capacity of the mechanized system was 2.3 h/10a, significantly reducing 97.2% of labor time compared to manpower. These results indicate that the mechanization of onion harvesting can effectively reduce labor costs and increase work efficiency. Future research should include performance verification in various environments and an economic analysis of the mechanized system.

A Study on the In situ Regeneration Effects of Commercial Deactivated SCR Catalyst (상용 탈질 SCR 폐촉매의 현장 재생 효과 고찰)

  • Park, Hea-Kyung;Jun, Min-Kee;Kim, Moon-Chan
    • Journal of Korean Society of Environmental Engineers
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    • v.34 no.10
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    • pp.664-670
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    • 2012
  • A study on the in situ regeneration effect of commercial deactivated SCR catalyst which had been exposed to the off gas from the heavy oil fired power plant for a long time was carried out in a simulated in situ conditions by washing with distilled water and various acid solutions in a short time. The catalytic performance test of the regenerated SCR catalysts was carried out in the micro reactor with simulated off gas of the heavy oil fired power plant and all prepared catalysts were characterized by BET, Porosimeter, EDX (Energy Dispersive X-ray spectrometer) and ICP (Inductively Coupled Plasma) to investigate correlations between catalytic activity and surface characteristics of them. The characterization results of the regenerated catalysts showed that the specific surface area was restored 95% more than that of fresh catalyst. Under this study, the activity of the regenerated catalysts with acid solution (3~6 M) without using ultrasonic wave in a simulated in situ conditions was restored 90% more than that of the fresh catalyst. It was found that improved activity of regenerated catalyst was caused by removing the deactivating materials from the surface of the deactivated SCR catalyst through acid washing.

Derivation of Nacelle Transfer Function Using LiDAR Measurement (라이다(LiDAR) 측정을 이용한 나셀전달함수의 유도)

  • Kim, Hyun-Goo;Kang, Yong-Heack;Yun, Chang-Yeol
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.39 no.9
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    • pp.929-936
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    • 2015
  • Nacelle anemometers are mounted on wind-turbine nacelles behind blade roots to measure the free-stream wind speed projected onto the wind turbine for control purposes. However, nacelle anemometers measure the transformed wind speed that is due to the wake effect caused by the blades' rotation and the nacelle geometry, etc. In this paper, we derive the Nacelle Transfer Function (NTF) to calibrate the nacelle wind speed to the free-stream wind speed, as required to carry out the performance test of wind turbines according to the IEC 61400-12-2 Wind-Turbine Standard. For the reference free-stream wind data, we use the Light Detection And Ranging (LiDAR) measurement at the Shinan wind power plant located on the Bigeumdo Island shoreline. To improve the simple linear regression NTF, we derive the multiple nonlinear regression NTF. The standard error of the wind speed was found to have decreased by a factor of 9.4, whereas the mean of the power-output residual distribution decreased by 6.5 when the 2-parameter NTF was used instead of the 1-parameter NTF.

A Design and Fabrication of the X-Band Transmit/Receive Module for Active Phased Array SAR Antennas (능동 위상 배열 SAR 안테나를 위한 X-대역 송수신 모듈의 설계 및 제작)

  • Chong, Min-Kil;Kim, Sang-Keun;Na, Hyung-Gi;Lee, Jong-Hwan;Yi, Dong-Woo;Baik, Seung-Hun
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.20 no.10
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    • pp.1050-1060
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    • 2009
  • In this paper, a X-Band T/R-module for SAR(Synthetic Aperture Radar) systems based on active phased array antennas is designed and fabricated. The T/R modules have a and width of more than 800 MHz centered at X-Band and support dual, switched polarizations. The output power of the module is 7 watts over a wide bandwidth. The noise figure is as low as 3.9 dB. Phase and amplitude are controlled by a 6-bit phase shifter and a 6-bit digital attenuator, respectively. Further the fabricated T/R module has est and calibration port with directional coupler and power divider. Highly integrated T/R module is achieved by using LTCC(Low Temperature Co-fired Ceramic) multiple layer substrate. RMS gain error is less than 0.8 dB max. in Rx mode, and RMS phase error is less than $4^{\circ}$ max. in Rx/Tx phase under all operating frequency band, or the T/R module meet the required electrical performance m test. This structure an be applied to active phase array SAR Antennas.

Fuel cell system for SUAV using chemical hydride - II. Lightweight fuel cell propulsion system (화학수소화합물을 이용한 소형 무인항공기용 연료전지 시스템 연구 - II. 경량 연료전지 추진 시스템)

  • Hong, Ji-Seok;Park, Jin-Gu;Sung, Myeong-Hun;Jeon, Chang-Soo;Sung, Hong-Gye;Shin, Seock-Jae;Nam, Suk-Woo
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.41 no.3
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    • pp.233-239
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    • 2013
  • A 100 W fuel cell system using chemical storage method has been applied for a propulsion system of the SUAV(Small Unmanned Aerial Vehicle). A fuel cell and battery have been combined for both the small/light hydrogen generation control system and the hybrid power supply system. A small hydrogen generation device was implemented to utilize NaBH4 aqueous solution and dead-end type PEMFC system, which were evaluated on the ground and by the flight tests. The system pressurized at a 45kpa stably operates and get higher fuel efficiency. The pressure inside of the hydrogen generation control system was maintained at between 45 kPa and 55 kPa. The 100W fuel cell system satisfies the required weight and power consumption rate as well as the propulsion system, and the fuel cell system performance was demonstrated through flight test.