• Journal of Food Hygiene and Safety
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• v.35 no.1
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• pp.60-67
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• 2020

This study determined the microbial contamination levels of hot pepper at harvest, sorting, and distribution stages to suggest a way of reducing the microbial contamination of hot peppers by changing work gloves used throughout these processes. According to the monitoring results, the contamination levels of total aerobic bacteria (TAB) were found in the following order: soil (5.3±0.9 log CFU/g), hot pepper (4.2±0.9 log CFU/g), gloves (4.2±0.6 log CFU/g), baskets (4.1±0.7 log CFU/ g), clippers (3.9±0.6 log CFU/ g) and water (3.2±1.1 log CFU/g) at harvest stage. The contamination level of coliforms were found in the following order: soil (2.2±0.9 log CFU/g), hot pepper (2.2±0.3 log CFU/g), gloves (2.1±0.6 log CFU/g), clippers (2.0±0.21 log CFU/ g) and baskets (1.9±1.1 log CFU/ g) at harvest stage. TAB on hot pepper at the harvest stage was reduced from 4.2±0.9 log CFU/g to cold storage 3.8±0.2 log CFU/g and room temperature storage 2.6±0.3 log CFU/g, respectively. By the replacement of work gloves and lower distribution temperature, TAB levels of the peppers were significantly reduced compared to those without replacement and distributed at room temperature. In addition, the utilization of plasma was effective on reducing microbial contamination of hot pepper. These results demonstrated that appropriate replacement of gloves at the harvest stages, using plasma in the distribution stage, and refrigerated distribution conditions, which are simple and easy to practice in the field, are effective to reduce microbial contamination on hot peppers.

• Journal of Food Hygiene and Safety
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• v.35 no.4
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• pp.326-333
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• 2020

In this work, we developed an analytical method for determining 11 illicit compounds in dietary supplements using high-performance liquid chromatography and liquid chromatography-tandem mass spectrometry. Eleven target compounds, including those meant for weight loss (7-keto-dihydroepiandrosterone, buformin, metformin, phenformin, salbutamol, and tolbutamide), sexual enhancement (dihydroepiandrosterone), and relaxation (asarone, kavain, magnoflorine, and picamilon) were screened and confirmed in dietary supplements. Method validation was performed by evaluating the selectivity, linearity, limit of quantification (LOQ), accuracy, and precision according to the Association of Official Analytical Chemists guidelines. The linearity was > 0.993 for all analytes. The LOQs were ranged in 2.1-9.9 ㎍/mL (HPLC-DAD) and 0.002-0.008 ㎍/mL (LC-MS/MS). The accuracies (expressed as recovery) were 90.0-106% (HPLC-DAD) and 83.0-114% (LC-MS/MS). The precision (expressed as the relative standard deviation) was below 10% using HPLC and LC-MS/MS. The proposed method can be used for the surveillance of illicit compounds in dietary supplements.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.38 no.1
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• pp.23-33
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• 2020

Recently, high-resolution images can be easily acquired using UAV (Unmanned Aerial Vehicle), so that it is possible to produce small area observation and spatial information at low cost. In particular, research on the generation of cover maps in crop production areas is being actively conducted for monitoring the agricultural environment. As a result of comparing classification performance by applying RF(Random Forest), SVM(Support Vector Machine) and CNN(Convolutional Neural Network), deep learning classification method has many advantages in image classification. In particular, land cover classification using satellite images has the advantage of accuracy and time of classification using satellite image data set and pre-trained parameters. However, UAV images have different characteristics such as satellite images and spatial resolution, which makes it difficult to apply them. In order to solve this problem, we conducted a study on the application of deep learning algorithms that can be used for analyzing agricultural lands where UAV data sets and small-scale composite cover exist in Korea. In this study, we applied DeepLab V3 +, FC-DenseNet (Fully Convolutional DenseNets) and FRRN-B (Full-Resolution Residual Networks), the semantic image classification of the state-of-art algorithm, to UAV data set. As a result, DeepLab V3 + and FC-DenseNet have an overall accuracy of 97% and a Kappa coefficient of 0.92, which is higher than the conventional classification. The applicability of the cover classification using UAV images of small areas is shown.

• Food Science and Preservation
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• v.22 no.3
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• pp.345-352
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• 2015

This study was monitored the quality characteristic of the hyssop-rice drink added using hyssop (Hyssopus officinalis) and rice. AFter operational parameters including amylase content ($X_1$, 1~5 mL), saccharification time ($X_2$, 10~18 hr) and hyssop content ($X_3$, 1.0~3.0 g) were monitored, these results were analyzed using a response surface methodology for the determination of the optimum conditions (Brix, Hunter's color and organoleptic properties). Maximum conditions of Brix for the hyssop-rice drink were 0.96 mL of amylase, 14.93 hr of saccharification time and 2 g of hyssop. Maximum conditions of Hunter's color b were 1.90 mL of amylase, 16.64 hr of saccharification time and 2.51 g of hyssop. Maximum conditions of organoleptic color were 4.60 mL of amylase, 15.66 hr of saccharification time and 1.57 g of hyssop. Maximum conditions of organoleptic aroma were 3.46 mL of amylase, 10.79 hr of saccharification time and 1.45 g of hyssop. Maximum conditions of organoleptic taste were 3.67 mL of amylase, 17.64 hr of saccharification time and 1.76 g of hyssop. Maximum conditions of overall palatability of the hyssop-rice drink were 3.73 mL of amylase, 13.66 hr of saccharification time and 1.85 g of hyssop.

• Food Science and Preservation
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• v.23 no.6
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• pp.859-865
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• 2016

Thise study aimed to determine the optimum antioxidant extraction conditions of dried Gugija (Lycium chinensis Mill). To determine the operational parameters, including ethanol concentration ($X_1$, 0~80%) and extraction time ($X_2$, 1~5 hr), a response surface methodology was applied to monitor brown color intensity, total phenolic compounds, ABTS radical scavenging activity, and $Fe^{2+}$ chelating activity. Coefficients of determinations ($R^2$) of the models were 0.8486~0.9214 (p<0.05~0.1) in dependent parameters. Brown color intensity of Gugija extracts reached a maximum of 0.75 (OD in 420 nm) under extraction conditions of 2.88 hr in 78.10% ethanol. Total phenolic compounds reached a maximum of $2,355{\mu}g$ under extraction conditions of 4.94 hr in 30.17% ethanol. ABTS radical scavenging activity was 13.83% at 4.61 hr and 16.21% ethanol. $Fe^{2+}$ chelating activity showed a maximum of 58.54% under extraction conditions of 3.39 hr in 0.76% ethanol. Optimum extraction conditions (5 hr extraction in 15% ethanol) were obtained by superimposing the contour maps with regards to total phenolic compounds, ABTS radical scavenging activity, and $Fe^{2+}$ chelating activity of dried Gugija. Maximum values of total phenolic compounds, ABTS radical scavenging activity, and $Fe^{2+}$ chelating activity under optimum extraction condition were $2,397{\mu}g$, 15.62% and 54.78%, respectively.

• The Journal of Society for e-Business Studies
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• v.25 no.4
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• pp.143-154
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• 2020

With the increasing trend of making manufacturing system intelligent and autonomous, the introduction of robot-assist automation, like machine tending system for automated operation of CNC machine tools, is being actively carried out at many industrial sites. Most important part of this intelligent system to install machine tending system, is interface programming between the CNC machine tools and the industrial robot. Despite this importance, however, the machine tending system has many setup problems. it is necessary for difficult re-program of both controllers whenever a new CNC machine tool or robot is introduced. And, the helps of external engineers is required even though trivial changes due to the complex structure of the machine tending system. Authors of this paper introduces the integrated system of the interface between heterogeneous CNC machine tools and industrial robots. In addition, the digital twin implemented inside the machine tool controller enable shop-floor operators to change the interface programming easily. To implement this system, an integrated development environment for 1) an intelligent HMI platform that provide standardized interfaces to heterogeneous CNC machine tools and 2) a robot platform developing application software of various robots, was established. For easy un-tact environment, this paper explain the development of 3) a game-engine based web program of controlling and monitoring machine tending system remotely.

• Korean Journal of Food Science and Technology
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• v.29 no.4
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• pp.737-744
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• 1997

Four-dimensional response surface methodology was used for optimizing preparation conditions and monitoring sensory quality of instant rice gruel prepared using oyster mushroom and brown rice. Water absorption time of brown rice and glutinous rice to prepare instant rice gruel were 50 hr at $5^{\circ}C\;and\;1\;hr\;at\;20^{\circ}C$, respectively. The optimum conditions predicted for each corresponding sensory properties of instant rice gruel were 47.58% (rate of brown rice in water-absorbed brown and glutinous rice), 569.68 mL (content of solution) and 52.40 min (heating time at $120^{\circ}C$) in viscosity of instant rice gruel, 47.15%, 568.49 mL and 53.04 min in taste of instant rice gruel, 44.06%, 558.54 mL and 53.84 min in mouth-feel of instant rice gruel, and 46.20%, 561.64 mL and 51.60 min in overall acceptance of instant rice gruel, respectively. The optimum conditions, which satisfy all sensory properties of rice gruel, were 44%, 620 mL and 56 min in rate of brown rice in water-absorbed brown and glutinous rice, content of solution and heating time, respectively. Sensory scores predicted at the optimum conditions were in good agreement with experimental sensory scores.

• Journal of Korean Society for Geospatial Information Science
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• v.1 no.1 s.1
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• pp.193-201
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• 1993

In a number of areas, there are important benefits to be gained when we bring both the detection and monitoring abilities of remote sensing as well as the philosophical approach and analytic capabilities of a geographic information system to bear on a problem. A key area in the joint applications of remote sensing technology and GIS is to identify change. Whether this change is of interest for its own sake, or because the change causes us to act (for example, to update a map), remote sensing provides an excellent suite of tools for detecting change. At the same time, a GIS is perhaps the best analytic toot for quantifying the process of change. There are two alternative methods for quantifying changes. The conceptually simple approach is to un the pixel values in each of the images. This method is practical but may be too simple to identify the variety of changes in a complex scene. The common alternative is called symbolic change detection. The analyst first decides on a set of thematic categories that are important to distinguish for the application. This approach is useful only if accurate landuse/cover classifications can be obtained. Persons conducting digital change detection must be intimately familiar with the environment under study, the quality of the data set and the characteristics of change detection algorithms. Also, much work remains to identify optimum change detection algorithms for specific geographic areas and problems.

• Korean Journal of Agricultural and Forest Meteorology
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• v.9 no.2
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• pp.132-139
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• 2007

The Moderate Resolution Imaging Spectroradiometer (MODIS) regularly provides the eight-day gross primary productivity (GPP) at 1 km resolution. In this study, we evaluated the uncertainties of MODIS GPP caused by errors associated with the Data Assimilation Office (DAO) meteorology and a biophysical variable (fraction of absorbed photosynthetically active radiation, FPAR). In order to recalculate the improved GPP estimate, we employed ground weather station data and reconstructed cloud-free FPAR. The official MODIS GPP was evaluated as +17% higher than the improved GPP. The error associated with DAO meteorology was identified as the primary and the error from the cloud-contaminated FPAR as the secondary constituent in the integrative uncertainty. Among various biome types, the highest relative error of the official MODIS GPP to the improved GPP was found in the mixed forest biome with RE of 20% and the smallest errors were shown in crop land cover at 11%. Our results indicated that the uncertainty embedded in the official MODIS GPP product was considerable, indicating that the MODIS GPP needs to be reconstructed with the improved input data of daily surface meteorology and cloud-free FPAR in order to accurately monitor vegetation productivity in Korea.

• Proceedings of The Korean Society of Health Promotion Conference
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• 2005.09a
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• pp.197-230
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• 2005

일본의 Soyo town에서 진행된 건강도시사업은 건강증진 프로그램 모형을 통하여 건강한 도시를 건설하겠다는 슬로건을 가지고 주민들이 참여하여 자신의 건강관리능력을 함양하고 서로의 장점을 공유하는 것을 사명으로 하고 있다. 또한 삶의 질 향상, 주관적 건강상태 향상, 삶의 만족도 향상, 정서적 유대감 향상, 수입증가 그리고 조기사망의 감소를 구체적 목적으로 설정하고 있다. 이러한 목적을 달성하게 위한 매우 실제적이며 수량화된 목표들이 설정되어 있다. 1992년에 사전조사를 실시하고 1996년과 2002년에 사후 조사를 실시하였다. 프로그램 내용과 과정에는 보건의료전문가와 시설에 대한 정비, 평가에 대한 계획, 학교를 포함한 포괄적인 보건의료시스템이 포함된다. 모든 부문은 자신들이 설정한 보건정책 결과에 대하여 모니터링을 진행하며 적절한 정책을 다시 설정하고 수량화된 목표를 설정하며 프로그램을 수행한다. 프로그램 수행의 가장 중요한 원칙은 사업의 기획, 수행, 평가 과정에 주민이 최우선적으로 참여한다는 점이다. Soyo town은 사업을 위하여 학교 및 지역 내 사조직과 협력하고 모든 사업의 기획과정에 다양한 구성원들을 참여시켰는데 이는 건강자원 개발에 있어 매우 중요하게 실천되어야 하는 문제이다. 특히 모든 Soyo town의 주민들이 참여하는 것을 원칙으로 하였다. 주민들은 건강관련 자원의 배치상태와 과학적 근거를 고려하여 효과적인 사업을 선정하는 것을 포함한 모든 사업의 과정에 참여하였다. 바람직한 생활양식을 향상시키기 위하여 식품회사, 자원단체 그리고 사회적 관계망 그리고 지역의 단체급식시설, 식당 등이 파악되었으며, 요양원, 가사도우미, 공중보건간호사, 방문간호사, 사회사업가로 구성된 보건의료 시설과 인력들이 협력하였다. 사업이 주민의 건강을 향상시켰는가와 건강향상에 사업이 효과적이었는지를 판단하기 위해서 평가가 진행되었는데, 서비스 제공자 뿐 아니라 소비자와 주민들도 평가를 수행하였다. Soyo town의 건강도시사업의 평가 결과, 조기사망률이 1988년 22.1%이 1992년 18.2%로, 1998년 15.6%로 감소하였다. 또한 주관적인 건강상태는 1988년 48%에서 1992년 67.1%로, 1998년 71.5%로 증가하였다. 전반적으로 주관적 건강상태, 사회적 관계망, 보건의료서비스에 대한 접근성은 증가하였으며, 조기사망, 의료비용은 감소하였다. 한편 보건의료부문의 질적인 향상을 가져왔으며, Soyo town은 건강한 도시의 명성을 얻게 되었다. 사업의 효과성을 향상시킨 요인은 주민 개개인들에게 사업의 기획과정에 처음부터 참여할 기회가 주어졌다는 점과 자원개발에 있어 기존자원의 재개발에 우선순위를 두었다는 점이었다. 효과적인 사업의 수행을 위하여 행정부, 주민, 건강관련 단체들은 수단과 방법에 관한 정보를 교환하는 것이 중요하다. 사업의 기획단계에 모든 이해당사자들이 참여하여 각자의 역할분담을 명확히 하는 것이 필요하며, 건강증진은 개인의 노력 뿐 아니라 사회적 환경의 개선과 자원의 개발을 통해서 달성되는 것이므로 주민들은 건강증진을 위한 환경개선을 위해 노력도 병행되어야 한다.