• Journal of Advanced Navigation Technology
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• v.23 no.5
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• pp.473-480
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• 2019

The smart home is a technology that can monitor and control by connecting everything to a communication network in various fields such as home appliances, energy consumers, and security devices. The Smart home is developing not only automatic control but also learning situation and user's taste and providing the result accordingly. This paper proposes a model that can provide a comfortable indoor environment control service for the user's characteristics by detecting the user's behavior as well as the automatic remote control service. The whole system consists of ESP 8266 with sensor and Wi-Fi, Firebase as a real-time database, and a smartphone application. This model is divided into functions such as learning mode when the home appliance is operated, learning control through learning results, and automatic ventilation using indoor and outdoor sensor values. The study used moving averages for temperature and humidity in the control of home appliances such as air conditioners, humidifiers and air purifiers. This system can provide higher quality service by analyzing and predicting user's characteristics through various machine learning and deep learning.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.10
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• pp.1300-1305
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• 2020

Due to the simplicity of communication structure using RS-232 and RS-422, the majority ships have still adapted on these communication interfaces and have constructed their own communication network in the ship. NMEA-0183 is the one of standards for BNWAS(Bridge Navigational Watch Alarm System) and currently being used in many countries. BNWAS utilises diverse sensor devices, GPS, AIS and so on for monitoring the status of ships and their deployments and environmental information(temperature, humidity, wind speed/direction, water temperature/current etc…). This paper proposes the use of any image sensors in NMEA-0183 environment and verifies possibility with certain video qualities through the experiment results. Furthermore the paper gathers videos and monitors the change of their qualities depending on the number of NMEA messages on RS-232 communication link. Finally we make conclusion that our proposal is sufficiently appropriate for ship monitoring system in the NMEA-0183.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.4
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• pp.577-586
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• 2022

Detection and classification of steel surface defects are critical for product quality control in the steel industry. However, due to its low accuracy and slow speed, the traditional approach cannot be effectively used in a production line. The current, widely used algorithm (based on deep learning) has an accuracy problem, and there are still rooms for development. This paper proposes a method of steel surface defect detection combining EfficientNetV2 for image classification and YOLOv5 as an object detector. Shorter training time and high accuracy are advantages of this model. Firstly, the image input into EfficientNetV2 model classifies defect classes and predicts probability of having defects. If the probability of having a defect is less than 0.25, the algorithm directly recognizes that the sample has no defects. Otherwise, the samples are further input into YOLOv5 to accomplish the defect detection process on the metal surface. Experiments show that proposed model has good performance on the NEU dataset with an accuracy of 98.3%. Simultaneously, the average training speed is shorter than other models.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.173-173
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• 2021

현재까지 상수도관망 내 수질적 거동에 대한 분석은 (1) 네트워크 수질 모델(EPANET 수질모의 등)에 기반한 방법과 (2) 시공간적 저해상도 데이터에 기반한 데이터 분석법이 주를 이루었다. 그러나 현존 네트워크 수질 모델은 수질 사고의 복잡한 물리·화학적 거동을 상세히 모의하기 어렵다. 반면 계측 및 통신기술의 발달로 고해상도 수질 데이터의 실시간 수집이 가능해지면서 사고의 사전감지, 발생시 즉각적 탐지 및 대응을 위한 데이터 분석법에 관심이 증가하고 있다. 서울 문래동, 인천, 포항의 경우에서도 알 수 있듯이, 수질사고 발생 시 원인물질의 시공간적 이송 또는 전파에 대한 정보는 사고대응에 유용하게 활용된다. 본 연구는, 비정상적인 수질변화의 계통 내 전달 시간을 계산하기 위해 고해상도 수질 스마트 미터 데이터에 기반한 데이터 분석법을 개발하였다. 물공급 하류방향의 수질변화 전달 시간 정량화를 위해 화음탐색법 기반 동적시간워핑(Dynamic time warping; DTW) 기술을 이용하였고, 원데이터의 전처리를 위해 이동평균필터링을 수행하였다. 개발된 분석법은 A시 생산 및 배·급수과정의 감시지점에서 10초 단위로 계측된 다양한 수질변수(pH, 탁도, 잔류염소, 전기전도도, 수온 등)의 공간적 변이 전파시간을 결정하기 위해 적용되었다. 분석에 활용한 데이터는 데이터 통신 및 측정 기기에 의한 이상값과 운영상황의 변화에 따라 변동한 값을 처리하기 이전의 데이터이다. 데이터 품질에 의한 영향을 배제하기 위해 이상값이 발생하지 않은 기간을 파악한 후, 그 기간에 대하여 분석하였다. 계통 내 위계에 따라 두 지점의 측정값의 전파시간을 정량화한 결과, 지점에 따라 전파시간이 다르게 나타났다. 또한, 같은 두 지점에 적용한 결과라도 DTW를 적용하는 기간과 이동평균필터링의 크기에 따라 수질변화 전달 시간이 다르게 나타나는 것을 확인할 수 있었다. 본 연구에서 개발된 분석법은 다변량 수질변수 간의 영향관계를 파악하는데 확장 적용이 가능하다. 또한, 이 방법의 실시간 적용을 통해 동적으로 변화하는 전달시간을 주기적, 공간적으로 갱신하여 관망 수질 변화 모니터링이 가능하다.

• Journal of the East Asian Society of Dietary Life
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• v.25 no.5
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• pp.822-829
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• 2015

The purpose of this study was to evaluate the biological activities and quality properties of macaroons made with GABA rice powder and xylose. GABA rice powder was added to macaroons at weight percentages of 0, 2.5, and 3.5%. Hunter's color values ($L^*$, $a^*$, $b^*$), total sugar contents, total phenolics, ABTS and DPPH radical scavenging activities, textures, and sensory characteristics supplemented with different xylose and GABA rice powder contents were measured. As the ratio of GABA rice powder in macaroons increased, total phenol contents and ABTS and DPPH radical scavenging activities increased. In the texture profile analysis, fracturability and brittleness were lower as GABA rice powder content increased. In the sensory evaluation, significant differences (p<0.05) were observed in color, sweetness, texture, and overall acceptability depending on the addition of GABA rice powder to macaroons. Overall qualities of macaroons were different from GABA rice powder and xylose added ones. Therefore, xylose and GABA rice powder may be used to make healthy macaroons.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39B no.11
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• pp.730-742
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• 2014

In the case of On-demand routing protocol in cognitive radio ad-hoc networks, broadcasting of control packets may occur common control channel overload and packet collisions during the routing procedure. This situation is to increase the overhead of path finding and also limited to find the accurate and reliable path. Since reliable channel and path finding is restricted, path life time is shorten and path reliability is reduced. In this paper, we propose a new routing algorithm that reduces control channel overhead and increases path life time by considering the probability of appearance of primary user and channel status of neighbor nodes. Each node performs periodic local sensing to detect primary user signal and to derive primary user activity patterns. The probability of primary appearance on the current channel and the channel status can be obtained based on the periodic sensing. In addition, each node identifies the quality of the channel by message exchange through a common channel with neighbor nodes, then determines Link_Levels with neighbor nodes. In the proposed method, the Link Level condition reduces the number of control messages that are generated during the route discovery process. The proposed method can improve path life time by choosing a path through Path_Reliability in which stability and quality are weighted depending on the location. Through simulation, we show that our proposed algorithm reduces packet collisions and increases path life time in comparison with the traditional algorithm.

• KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
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• v.23 no.1
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• pp.37-45
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• 2017

To visually identify the spoilage of chicken breasts, a three layered freshness indicator consisting of PET/bromocresol green (BCG)-ethylene vinyl acetate (EVA)-acetic acid (AA) composite layer/porous substrates was successfully prepared and their performance were simulated at 20% of $CO_2$ and 4 different trimethylamine (TMA) concentrations to evaluate color change at minimal spoilage level. The visibility and range of color changes of the as-prepared indicators responding to TMA concentration as a simulant were strongly dependent on the concentrations of BCG and AA. As the BCG content increased, the visibility of color change in the freshness indicators was apparently improved and the range of color change could be controlled by contents of AA. Among the as-prepared freshness indicators, 'G0.12_A0.5' which consisting 0.12g of BCG and 0.5g of AA was selected as an optimum composition due to the highest visibility at TMA 20 mg% corresponding to the minimal spoilage level. The color of the indicator changed from yellow to green for spoilage indication of chicken breast, which could be easily seen with the naked eyes and well consistent with the simulation results. It is expected that our developed freshness indicator can be useful in monitoring various food freshness and quality.

• Korean journal of food and cookery science
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• v.18 no.1
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• pp.51-56
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• 2002

This study was carried out to develop a traditional functional beverage by using hot-water extraction of dried peels of Korean tangerine. The pH of the hot-water extracts of dried tangerine peels decreased as the extraction time increased. The acidity and viscosity of the extracts increased as the extraction time increased. The antioxidative activity of the extracts during the extraction was monitored by measuring the electron donating ability. The electron donating abilities of the extracts were in the range of 80.93-83.27%. Extraction time did not affect the antioxidative activity of the extracts. The fibrinolytic activity of the extracts increased as the extraction time increased. The pH of the beverage made with the peel extract was not affected by the extraction time and the kind of sweetener added. The viscosity of the beverage increased as the extraction time increased. In sensory evaluation the highest score was obtained in the beverage samples made with the ones extracted for 180 min and added with sugar. The aboveresults indicate that the dried peel of Korean tangerine can be used as a functional material in beverage industry.

• Food Science and Preservation
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• v.14 no.5
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• pp.526-530
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• 2007

The effects of kwamaegi (0, 6, 12 and 18%, all w/w) on the quality characteristics of Kimchi during fermentation at $10^{\circ}C$ were investigated. The mixtures are denoted KK. The late of decrease in pH during KK fermentation was lower than that of control. The number of total microbes (T) in Kimchi controls fermented for 14 days did not differ, and were in the range of $8.64{\sim}8.68\;log\;CFU/g$, whereas the numbers of lactic acid bacteria (L) in KK were higher than in controls. The L/T(%) was 78.41 in control, 85.76 in 6% KK and $93.68{\sim}94.25%$ in the 16% or 18% KK samples. The hardness of tissue ($2.98{\sim}3.66{\times}10^7\;dyne/cm^2$) in KK fermented for 14 days was higher than that of control ($2.67{\times}10^7\;dyne/cm^2$). The content of alcohol-insoluble substances in KK juice (1.281.08 g/100 g) was lower than that of control (1.45 g/100 g). In sensory evaluation, the appearance and texture of KK were better than those of control. Although some fishy flavor was noted in KK, this did not affect acceptability. Sourness was less, whereas ripened taste and overall acceptability were higher in KK (especially 12% KK) compared to control.

• Journal of Food Hygiene and Safety
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• v.37 no.4
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• pp.207-215
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• 2022

The intensity of fishy odor in eggs, which differs depending on the poultry type and individual perception, can be due to many factors including trimethylamine (TMA) which has been identified as the main. Notably, riboflavin can increase the activity of flavin-containing monooxygenase 3, the enzyme responsible for converting TMA into odorless trimethylamine-N-oxide. This study aimed to analyze the TMA content in egg yolk, evaluate its contribution to fishy odor, and develop a method to prevent this undesired odor. Solid-phase microextraction-gas chromatography/mass spectrometry was used to detect and quantify volatile compounds in egg yolk from hens fed a standard TMA-rich diet and hens fed a riboflavin-supplemented diet. To compare the relative content of volatile substances between eggs, a correlation study was performed using an electronic nose. Higher concentration of TMA (1.06 ± 0.12 mg/kg) was detected in egg yolks obtained from hens fed a normal diet than those fed a riboflavin-supplemented diet. Overall, this study suggests that riboflavin affects the quantity and quality of volatile substances, including TMA, present in eggs and we expect these findings to improve the quality and reduce the fishy odor of eggs.