• Korean Journal of Food Science and Technology
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• v.43 no.5
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• pp.532-536
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• 2011

The internal standard method using ion chromatography combined with tandem mass spectrometry (IC-MS/MS) for quantifying perchlorate in different types of food was established. Because the presence of ions and other biomolecules in matrices usually interrupts accurate determination of perchlorate, it is necessary to develop efficient, reproducible method to determine perchlorate concentrations in food. In this study, the internal standard method was compared with the external standard method to determine perchlorate concentrations in standard samples. The obtained method detection limit (MDL) for perchlorate was 0.005 ${\mu}g/L$ for bottled water, 0.12 ${\mu}g/L$ for milk, 0.27 ${\mu}g/kg$ for rice, 0.16 ${\mu}g/kg$ for vegetables, and 0.07 ${\mu}g/kg$ for seaweed, respectively. The limit of quantitation (LOQ) was calculated by multiplying the MDL by 7. The recoveries of perchlorate from food samples spiked with perchlorate ranged from 98 to 105% and their percent relative standard deviation (%RSD) levels were <20%. This method was successfully applied for the quantitative determination of perchlorate in various kinds of food.

• Journal of the Korea Convergence Society
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• v.13 no.1
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• pp.149-160
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• 2022

In this study, the physical quality and microbial changes of ginseng sprout according to the pretreatment process and packaging container were evaluated to improve the storage properties of ginseng sprout produced in smart farm. Quality change during storage (10 days) according to pretreatment method (ascorbic acid, citric acid, peroxyacetic acid) and packaging container (expanded polystyrene (EP), polypropylene (PP), polyethylene (PE), polypropylene + polyethylene + cast polypropylene (PP+PE+CPP)) was evaluated in terms of texture, viable cell count, water content, and color. As a result of comparison according to the type of pretreatment, the citric acid treatment group showed the lowest texture change and the effect on inhibition of bacterial growth. On the other hand, citric acid, which was most effective among pretreatments, was treated in all samples and then stored in 4 types of containers. Specially, the ginseng sprout in PP packaging container was not observed significant softening or color changes after 10 days storage, and the lowest changes in viable cell number. Therefore, this study was shown that citric acid treatment and use of PP packaging container are effective in increasing the shelf life of ginseng sprout.

• Proceedings of the Korean Society for Cognitive Science Conference
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• 2000.06a
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• pp.368-375
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• 2000

품사 태깅 시스템은 자연 언어 처리의 가장 기본이 되는 부분으로 상위 자연 언어 처리 분야인 구문분석, 의미분석의 전처리로 사용되거나, 기계번역, 정보검색이나 음성인식 및 합성등과 같은 많은 응용 시스템을 위해서도 필요하다. 이렇게 여러 가지 목적을 위해 품사 태깅 시스템은 존재하는데, 각각의 응용을 위해서 최적화된 태깅 시스템을 따로 구성하기도 하고, 하나의 태깅 시스템을 여러 가지 응용을 위해서 사용하기도 한다. 이때, 문제가 되는 것 중에 하나는 각 응용마다 요구하는 품사 태그 세트가 다르다는 것이다. 품사 태그세트가 고정되어 있다면 어떤 응용을 위해서는 사용되는 품사 태그세트가 너무 적어서 문제가 되고, 반대로 품사태그세트가 너무 많아서 시스템의 수행속도가 중요시되는 응용에서 성능저하의 요인이 되기도 한다. 본 논문에서는 하나의 태깅 시스템의 품사태그세트를 조절할 수 있도록 하여 몇 가지 응용시스템에 맞게 최적화 시킬 수 있는 방법론을 제시하고 실험을 통해서 시스템의 성능, 유지보수 및 시스템의 여러 리소스 관리 측면에서도 가장 효율적인 방법론임을 입증하고자 한다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.5
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• pp.1103-1109
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• 2014

The motion recognition system has been broadly studied in digital image and video processing fields. Recently, method using th depth image is used very useful. However, recognition accuracy of depth image based method will be loss caused by size and shape of object distorted for angle of the depth sensor. Therefore, distortion correction of depth sensor is positively necessary for distinguished performance of the recognition system. In this paper, we propose a pre-processing algorithm to improve the motion recognition system. Depth data from depth sensor converted to real world, performed the corrected angle, and then inverse converted to projective world. The proposed system make progress using the OpenCV and the window program, and we test a system using the Kinect in real time. In addition, designed using Verilog-HDL and verified through the Zynq-7000 FPGA Board of Xilinx.

• Journal of Korea Water Resources Association
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• v.52 no.12
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• pp.1087-1098
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• 2019

In this study, we developed an integrated urban river data platform that collects, cleans, and provides data for urban river management. The urban river integrated data platform has the function of collecting data provided by various institutions using the Open API service. The collected data is purified through pre-processing and loaded into a database. The collected data can be reviewed and analyzed using a visualization system and provided through the Open API, so that it can be used as individual input data by combining them in the urban river model. In addition, the development system for real-time data was developed to apply real-time data to urban river models. Through this, users will be able to reduce the time and effort required for data collection, pre-processing and input data construction, thereby increasing efficiency and scalability in the development of urban river models and systems.

• Journal of the Korea Convergence Society
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• v.11 no.11
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• pp.19-24
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• 2020

Recently, due to the rapid increase of pets, there is a need for an integrated pet-related personalized product recommendation service such as feed recommendation using a health status check of pets and various collected data. This paper implements a product recommendation system that can perform various personalized services such as collection, pre-processing, analysis, and management of pet-related data using big data. First, the sensor information worn by pets, customer purchase patterns, and SNS information are collected and stored in a database, and a platform capable of customized personalized recommendation services such as feed production and pet health management is implemented using statistical analysis. The platform can provide information to customers by outputting similarity product information about the product to be analyzed and information, and finally outputting the result of recommendation analysis.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.1
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• pp.25-33
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• 2009

Recently, the TS fuzzy models that include the linear equations in the consequent part are widely used for time series forecasting, and the prediction performance of them is somewhat dependent on the characteristics of time series such as stationariness. Thus, a new prediction method is suggested in this paper which is especially effective to nonstationary time series prediction. First, data preprocessing is introduced to extract the patterns and regularities of time series well, and then multiple model TS fuzzy predictors are constructed. Next, an appropriate model is chosen for each input data by an adaptive model selection mechanism based on rough sets, and the prediction is going. Finally, the error compensation procedure is added to improve the performance by decreasing the prediction error. Computer simulations are performed on typical cases to verify the effectiveness of the proposed method. It may be very useful for the prediction of time series with uncertainty and/or nonstationariness because it handles and reflects better the characteristics of data.

• Journal of Appropriate Technology
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• v.7 no.2
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• pp.206-210
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• 2021

Hyperbilirubinemia is the most common neonatal disease and is observed in about 80% of newborns worldwide in neonatal period within a week after birth. Untreated infant hyperbilirubinemia may lead to brain damage and even death, so it is very important to diagnose it quickly and accurately. In this study, a total bilirubin measurement system was developed that is portable and easy to use without pre-processing using a commercial smartphone. This system measures using the LED and camera of the smartphone without the need for additional devices, and because a small amount of blood is injected without pre-treatment, anyone can easily measure it in the field. In a comparative study with Cobas c111 results, accuracy meets CLIA guidelines with 94% (17/18) within ±0.4 mg/dL below 3 mg/dL and 98% within ±20% above 3 mg/dL (276/282). This system offers a simple, fast and accurate diagnosis for jaundice in infants and young children in low-resource settings.

• The Transactions of the Korea Information Processing Society
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• v.6 no.7
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• pp.1970-1979
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• 1999

This paper proposes an AVI system which recognizes the license plate and the driver's face simultaneously using passive AVI techniques. For this, firstly, the pro-processing algorithm independent of the environment is proposed and region extraction of the car number plate and the driver's face is described. Secondly, characters are separated and recognition parameters are extracted from target regions. Thirdly, template matching of car number plate is performed and the fuzzy relation matrix of driver face is made for the final recognition processes. The merits of the proposed system are following : Pre-processing is accomplished regardless of the environment. The application areas of conventional AVI system can be expanded in the content that the driver's face is also recognized in the proposed system compared with only the number plast is recognized in the existing systems.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2008.11a
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• pp.147-148
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• 2008