• Proceedings of the Korean Society of Crop Science Conference
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• 2017.06a
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• pp.181-181
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• 2017

Global warming and climate change have been one of the most important problems last 2 decades. Global warming is known to cause abnormal climate and influence ecology, food production and human health. According to climate change model global warming is causing expansion of drought and increase of evaporation. Therefore, securing water in agriculture has been an important issue for crop cultivation. As potato is susceptible to drought, water shortage generally results in decrease of yield and decrease of biomass. In this research, we investigated characteristics of inorganic nutrient absorption and growth of plants grown under drought condition. Plants were sampled in sites of Cheong-ju and Gangneung, where the severity of drought stress were different. During the growth period in Gangneung, total rainfall in 2016 decreased by 50% compared with those in last 5 years average. Especially, there was almost no rain in tuber enlargement period (from mid-May to mid-June). On the other hand, the total rainfall in of Cheong-ju was is similar to those in last 5 years average. Inorganic components including K, Ca and Mg and plant growth factors such as plant length, stem length, leaf area index and plant biomass were investigated. Tuber yields in both areas were investigated at harvest. Growth period of plants was is longer in Cheong-ju than that in Gangneung. Contents of all inorganic components were higher in plants grown in Cheong-ju than in Gangneung. The results were attributed to higher production of plant biomass in Cheong-ju. Considering the results, severe drought stress conditions in Gangneung accelerated plant aging and resulted in low plant growth. Although total yield was greatly reduced under drought stress the rate of commercial yield was is not significantly different with non-drought conditions.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.87-89
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• 2022

Recently, as more consumers spend more time at home due to COVID-19, the time spent on digital consumption such as SNS and OTT, which can be easily used non-face-to-face, naturally increased. Since 2019, when COVID-19 occurred, digital consumption has doubled from 44% to 82%, and it is important to quickly and accurately grasp and apply trends by analyzing consumers' emotions due to the rapidly changing digital characteristics. However, there are limitations in actually implementing services using emotional analysis in small systems rather than large-scale systems, and there are not many cases where they are actually serviced. However, if even a small system can easily analyze consumer trends, it will help the rapidly changing modern society. In this paper, we propose a lightweight trend analysis system that builds a learning network through Transfer Learning (Fine Tuning) of the BERT Model and interlocks Crawler for real-time data collection.

• Proceedings of the KIEE Conference
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• 1987.07b
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• pp.1383-1386
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• 1987

This paper concerns, the method for velocity of dynamic Image on two dimensional sequence Image which can be obtained from two sample lines on the street. The velocity of a single moving object Is measured by the number of total frame which Is required when an automobile passes over the second sample line through the first sample line. The measured results show that the velocity error Is less than 5% comparing with the value measured by X-band speed gun.

• Journal of Radiation Protection and Research
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• v.31 no.4
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• pp.197-201
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• 2006

Daily and seasonal variations of the ambient gamma ray exposure rates were measured by using a pressurized ion chamber from January 2003 to December 2005 in the CheongJu Regional Radiation Monitoring Post and the patterns of the distributions were studied. The annual average of the daily variation of the exposure rate was $\sim0.17{\mu}R/h$. The exposure rate was found to be maximum during 8:00 am to 9:00 am and minimum during 8:00 pm to 10:00 pm. For the annual data, the exposure rate was the minimum during the month of February. The exposure rate increased from February to mid-October (except during the period from May to July with no change) and decreased from October to February. The seasonal variation was found to be about $1{\mu}R/h$. Most of the measured values (96%) of the exposure rates fell under the normal distribution with a deviation of less than 4.8% and the remaining 4% had large fluctuations caused mainly by the rainfalls.

• Proceedings of the KIEE Conference
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• 2004.07d
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• pp.2699-2701
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• 2004

This paper describes a new algorithm for human sensibility evaluation using two personality-group templates of electroencephalogram (EEG) signals. EEG signals of two groups arc collected in relaxed state, comfortable state and uncomfortable state. First of all, the characteristics of EEGs in relaxed state for two groups are compared. After verification of the results, an algorithm for sensibility evaluation is developed. In comparison of the characteristics for two personality-group EEG signals. there are distinct difference between the EEG patterns of the extrovert and the introvert. Upon these findings, the algorithm for human sensibility evaluation is designed. The results of the algorithm showed 90.0% of coincidence with given tasks. This seems to be compromising results for subject independent sensibility evaluation using EEG signal.

• Journal of the Semiconductor & Display Technology
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• v.12 no.4
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• pp.27-32
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• 2013

In this paper, the boost converter was implemented by digital control in many applications of the step-up. The PWM(pulse width modulation) control module of boost converter was digitized at power converter using the FPGA device and VHDL. The boost converter was designed to output a fixed voltage through the PI control algorithm of the PWM control module even if input voltage and output load are variable. The boost converter was digitized can be simplified by reducing the size of the module and the external control components. Thus, the digital power IC has advantageous for weight reduction and miniaturization of electronic products because it can be controlled remotely by setting the desired output voltage and PWM control module. The boost converter using the digital power IC was confirmed through experiments and the good performances were showed from experiment results.

• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.930-931
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• 2015

본 논문은 브릿지리스 인터리브 PFC의 높은 역률 개선과 LLC 공진형 하프브릿지 정류기 회로를 채택하여 풀부하 상태에서 90%이상의 높은 효율로 내부손실과 내부상승 온도를 최적화 시키고, 메탈 PCB와 표면 실장형 부품, 스위칭 주파수를 높인 직렬구조 변압기 등을 적용하여 높이를 12.9mm이하로 제한해 기존의 가전 디스플레이용 전원 장치와 비교해 높은 효율과 박형화 하는 기술적 방법을 제시하였다.

• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.946-947
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• 2015

정지궤도 복합위성용 전력조절장치는 위성의 전력버스에 필요한 전력을 조절하고 배터리의 충전과 방전을 제어하고 관리한다. 전력조절장치의 용량은 1kw로 하고 태양 전지의 어레이는 4개의 패널로 구성되며 S3R(Sequential Switching Shunt Regulator)을 이용하여 조절된 버스전압은 완전조절 50Vdc으로 한다. 변환된 전력은 위성부하에 필요한 전력을 분배하는 PDM(Power Distribution Module)에 공급된다. 남은 전력은 BCR(Battery Charge Regulator)를 통해 배터리에 전력을 충전하고 전력이 부족할 때 BDR(Battery Discharge Regulator)를 통해 방전을 하여 버스전압에 전력을 공급한다.

• Proceedings of the KIEE Conference
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• 2003.07d
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• pp.2106-2108
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• 2003

단상 또는 3상의 AC 전원의 전류나 전압 또는 전력을 계측하기 위해 Analog Signal들을 Digital Signal로 변환하여 특정 Algorithm의 연산을 수행하여 결과를 얻는 과정을 Microprocessor를 이용하여 처리하는 방법은 산업현장이나 연구개발에서 흔히 사용하는 방법이다. 본 논문에서는 Microprocessor를 이용하여 보편화된 3가지의 계측 Algorithm인 DFT, True RMS, Summation Algorithm을 사용하여 동일 System에 3상 AC의 전류 부하를 일정 범위에서 가변 하여 인가시키면서 계측 값을 사용하여 Algorithm의 계측 결과의 오차율과 연산에 소요되는 시간과 외부 잡음인 Surge, Impulse, 정전기, 방파, 고조파에 대한 System의 처리 효율을 연구 하였다.

• Proceedings of the KIEE Conference
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• 2003.07d
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• pp.2115-2117
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• 2003

This paper is study on internet based wireless remote control and monitoring for the system to purify water. Environment of the water quality grew worse. Therefore we require the effective system to purify water. Now national internet based wireless remote control and monitoring make a sensation and are a problem to be solved. This paper demonstrate internet based wireless remote control and monitoring for the system to purify water. This system including on server and many client distributed in whole country. The server is collecting information from the client. This information is then written inside database. The database is dealing with website and server and client.