• 한국유가공학회:학술대회논문집
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• 2006.06a
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• pp.29-45
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• 2006

최근에 들어 웰빙(well-being)과 함께 로하스(LOHAS: Lifestyle of Health and Sustainability)란 개념이 급속도로 확산되고 있으며, 이를 만족하는 식품으로 친환경 농산물과 유기 가공 식품이 대두되고 있다. 여러 마케팅 조사에서도 친환경 농산물과 유기 가공 식품의 소비자 선호도는 상당히 높게 나타난다. 이러한 다양한 소비자의 요구에 맞춰 우리의 2세에게 더욱 안전하고 좋은 품질의 이유식을 제공하고 나아가 한계에 이른 '지구와 환경을 해치지 않는 지속가능 한 소비'를 유도하고자 업체들은 유기농 이유식을 개발하고 있다. 유기농 소비자 10명 가운데 7명은 최근의 웰빙 붐 때문에 유기농에 관심을 가지게 됐으며, 가격이 다소 비싸더라도 가족의 건강을 위해 친환경 농산물을 구입하는 것으로 나타났으며, 국내외를 막론하고 친환경 농산물과 유피 가공 식품의 시장 동향을 살펴보면 지속적으로 증가하고 있으나, 아직까지 일반 제품에 비해 미미한 수준이며, 국내는 인증 제도가 없으나, 유기 가공 식품표시기준에 따라 표시되고 있다. 일반적으로 이유식이라 함은 식품공전에서 영 ${\cdot}$ 유아용 곡류 조제식만을 말하지만 넓게 축산물의 조제유류, 영아용 조제식, 성장기용 조제식, 기타 영 ${\cdot}$ 유아식을 포함할 수 있으며, 유기농 이유식 제조 현황을 살펴보면 동결, 분무, 드럼 등의 건조와 퍼핑이나 Extruder를 통한 알파화로 원료를 가공하여 은 살균, 멸균, 균질, 혼합, 건조, 냉각, 포장 등의 다양한 공정으로 이루어진 분무건조나 유동층이나 연속식 과립기를 사용하여 분말이나 입자형 이유식을 생산하며, 동결 건조를 하여 열수를 가해 죽 상태로 먹을 수 있도록 한 제품, 데워서 떠 먹일 수 있도록 병조림이나 레토르트 유동식 제품, 바로 마실 수 있는 쥬스류, 두유류, 과자 등으로 생산하고 있다. 주된 메이저4사는 일동후디스, 남양유업, 매일유업, 파스퇴르유업으로 다양한 제품들을 생산하고 있으며, 두유를 위주로 한 정식품, 연세우유와 종근당건강, 다양한 다국적 기업들의 제품이 수입되고 있는 실정이다. 이유식 시장도 96년 하반기부터 정체를 보이는 상태다. 2002년도 이유식 시장은 약 1,300억원 규모로 업체들의 고가 신제품과 유기농 이유식 출시로 판매 금액은 소폭 상승하였으나 판매 수량은 큰 변동이 없다. 저출산에 따른 양육비 집중과 유기농 제품에 대한 저변이 크게 확산돼 베이비 웰빙은 어느 정도 예견된 일이거니와 이미 미국 등 선진국에선 유아에 그치지 않고 아동까지 유기농과 고급 원료를 사용한 고가의 웰빙 제품이 봇물을 이루고 있는 상황이어서 유아식 시장은 어느 때보다 경쟁이 치열할 것이며, 국내 식품 업체들이 너도나도 유기농 제품과 매장사업에 뛰어들고 있다. 유기 가공 식품의 지속적인 발전을 위해서 (1) 국내산/수입산 공통으로 인증 제도가 도입되고 원료 농산물뿐만 아니라, 모든 공정이나 공장에 대한 종합적 관리와 동일한 인증 표시가 이루어져야 한다. (2) 정부 부처의 이기를 타파할 수 있는 법정부적 기구나 대책이 필요하다. (3) 유기 가공 식품을 취급하는 업계에서는 기존 3%의 비의도적 혼입치의 고려나 상한선 재설정을 요구하고 진정한 유기 가공 식품으로 공정 경쟁한다. (4) 활발한 인증심사원의 교육과 배출로 인증이나 심사기관의 민간 이양을 적극 장려하고 국가관 상호 신뢰를 구축한다. (5) 각 소비자 단체나 소비자는 환경을 살리고 생명체의 공생이라는 관점에서 최선의 길이 유기농 제품임을 인식하고 소비하여 우리의 다음 세대에게서 빌려온 소중한 환경을 물려준다.

• Spatial Information Research
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• v.9 no.2
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• pp.239-261
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• 2001

A large suite of official statistical data sets has been compiled for geographical units under the national directives, and it is the quantitative regional analysis procedures that could add values to them. This paper reports our attempts at prototyping a statistical GIS which is capable of serving over the Web a variety of regional analysis routines as well as value-added statistics and maps. A pilot database of some major statistical data was ingested for the city of Seoul. The baseline subset of regional analysis methods of practical usage was selected and accommodated into the business logic of the target system, which ranges from descriptive statistics, regional structure/inequality measures, spatial ANOVA, spatial (auto) correlation to regression and residual analysis. The leading-edge information technologies including the application server were adopted in the system design and implementation so that the database, analysis modules and analytic mapping components may cooperate seamlessly behind the Web front-end. The prototyped system supports tables, maps, and files of downloadable format for input and output of the analyses. One of the most salient features of out proposed system is that both the database and analysis modules are extensible via the bi-directional interface for end users; The system provides users with operators and parsers for algebraic formulae such that the stored statistical variables may be transformed and combined into the newly-derived set of variables. This functionality eventually leads to on-the-fly fabrication of user-defined regional analysis algorithms. The stored dataset may also be temporarily augmented by user-uploaded dataset; The extension of this form, in essence, results in a virtual database which awaits for users commands as usual. An initial evaluation of the proposed system confirms that the issues involving the usage and dissemination of information can be addressed with success.

• Spatial Information Research
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• v.12 no.2
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• pp.165-179
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• 2004

With the spread of wireless internet, the interest in mobile applications and services is increasing. Korea Wireless Internet Standardization Forum has been establishing the standards for mobile platform and map service in the wireless internet environment. This study aims to present a paragon of mapping middleware that plays the role of broker for wireless internet map service: in particular, it focuses on the interoperability with generic map servers. In this study, we developed a method for applying current map servers to the wireless internet map service, and analyzed the request/response structure of the map servers which have different operation characteristics in order to allow our middleware to fully utilize the functionalities of the map servers. The middleware we developed is composed of .NET-based XML Web Services: it has a lightweight module for image map and a map representation module for choropleth map, symbol map, chart map, etc. This mapping middleware is a broker between mobile client and generic map server, and supports .NET clients and Java clients as well. Its component-based interoperability grants the extensibility for the wireless internet dedicated map servers of the future in addition to the current generic map servers.

• Tuberculosis and Respiratory Diseases
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• v.42 no.5
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• pp.654-659
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• 1995

Background: Tuberculosis has commonly been associated with various hematologic changes. A difference between the changes found in pulmonary tuberculosis and those found in miliary tuberculosis has been discussed. Up to now some worker were investigated hematological changes associated with pulmonary tuberculosis but was not investigated those associated with miliary tuberculosis in korea. Therefore we examimed the peripheral blood and bone marrow findings in miliary tuberculosis patients to determine hematologic changes. Methods: We performed blood sample at admission and bone marrow biopsy within 7days after admission. For evaluation of the hematologic findings, full blood counts and marrow differential counts were defined by the criteria outlined by Dacie and Lewis. Results: 1) Peripheral blood findings: Pancytopenia in 10% of patients, anemia in all patients, leukocytosis in 10% of patients, leukopenia in 20% of patients, thrombocytopenia in 30% of patients, lymphocytopenia in 90% of patients, monocytosis in 40% of patients and neutrophilia in 10% of patients were found at peripheral blood. 2) Bone marrow findings: Lymphocytopenia in 30% of patients, lymphocytosis in 20% of patients, plasmacytosis in 40% of patients, monocytosis in 100% of patients, and hypocellularity in 30% of patients were found at bone marrow. Erythropoiesis was decreased in 30% of patients. Granulopoiesis was decreased in 20% of patients and increased in 20% of patients. Bone morrow granuloma occured in 25% of patients. Conclusion: Hematologic changes of miliary tuberculosis were seen tendency of cytopenic pattern but monocyte was increased at peripheral blood and bone morrow. This findings would provide additional information for the differential diagnosis of miliary tuberculosis.

• The KIPS Transactions:PartD
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• v.11D no.6
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• pp.1221-1230
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• 2004

In mobile environments, the locations of moving objects such as vehicles, airplanes and users of wireless devices continuously change over time. For efficiently processing moving object information, the database system should be able to deal with large volume of data, and manage indexing efficiently. However, previous research on indexing method mainly focused on query performance, and did not pay attention to update operation for moving objects. In this paper, we propose a novel moving object indexing method, named ACAR-Tree. For processing efficiently frequently updating of moving object location information as well as query performance, the proposed method is based on fixed grid structure with auxiliary R-Tree. This hybrid structure is able to overcome the poor update performance of R-Tree which is caused by reorganizing of R-Tree. Also, the proposed method is able to efficiently deal with skewed-. or gaussian distribution of data using auxiliary R-Tree. The experimental results using various data size and distribution of data show that the proposed method has reduced the size of index and improve the update and query performance compared with R-Tree indexing method.

• Korean Journal of Remote Sensing
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• v.37 no.5_1
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• pp.1149-1161
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• 2021

With a trend of the utilization of computer vision for satellite images, cloud detection using deep learning also attracts attention recently. In this study, we conducted a U-Net cloud detection modeling using SPARCS (Spatial Procedures for Automated Removal of Cloud and Shadow) Cloud Dataset with the image data augmentation and carried out 10-fold cross-validation for an objective assessment of the model. Asthe result of the blind test for 1800 datasets with 512 by 512 pixels, relatively high performance with the accuracy of 0.821, the precision of 0.847, the recall of 0.821, the F1-score of 0.831, and the IoU (Intersection over Union) of 0.723. Although 14.5% of actual cloud shadows were misclassified as land, and 19.7% of actual clouds were misidentified as land, this can be overcome by increasing the quality and quantity of label datasets. Moreover, a state-of-the-art DeepLab V3+ model and the NAS (Neural Architecture Search) optimization technique can help the cloud detection for CAS500 (Compact Advanced Satellite 500) in South Korea.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.9 no.1
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• pp.457-466
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• 2019

The study was to improve the right to the enjoyment of culture of persons with visual impairment by increasing the accessibility to art exhibitions and exploring assistive measures through needs assessment survey of persons with visual impairment on arts exhibition. We used total 83 responses collected through an online survey. The result are as follows. First, watching movies at a teather was the most frequent leisure activity among persons with visual impairment, while respondents reported attending art exhibitions as the least frequent activity. Yet, 71.1% included attending art exhibitions as one of their top 5 culture and leisure activities. Most of the respondents reported the purpose of attending art exhibitions as fun. However, a primarily visual atmosphere prevented them from visiting the exhibition. Second, persons with visual impairment preferred approaching the art to have a closer look. More than about 50% of the respondents used their residual vision. Most of the respondents reported to use more than two senses when appreciating the exhibits. Moreover, respondents reported that devices/services for multi-sensory experiences would be helpful to appreciate the art. The findings imply that the consideration of the characteristics and needs of persons with visual impairment is required for establishing the environment of art exhibitions. This could further contribute to the improvement of the right to the enjoyment of leisure and culture of persons with visual impairment and lead to the realization of social integration.

• Journal of the Korean Association of Geographic Information Studies
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• v.23 no.4
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• pp.253-265
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• 2020

As the risk of landslide is recently increasing due to the typhoons and localized heavy rains, effective techniques for the landslide damage detection are required to support the establishment of the recovery planning. This study describes the analysis of landslide-damaged areas using ISODATA(Iterative Self-Organizing Data Analysis Technique Algorithm) with Sentinel-2 image, regarding the case of Gokseong in August 7, 2020. A total of 4.75 ha of landslide-damaged areas was detected from the Sentinel-2 image using spectral characteristics of red, NIR(Near Infrared), and SWIR(Shortwave Infrared) bands. We made sure that the satellite remote sensing is an effective method to detect the landslide-damaged areas and support the establishment of the recovery planning, followed by the field surveys that require a lot of manpower and time. Also, this study can be used as a reference for the landslide management for the CAS500-1/2(Compact Advanced Satellite) scheduled to launch in 2021 and the Korean Medium Satellite for Agriculture and Forestry scheduled to launch in 2024.

• Korean Journal of Remote Sensing
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• v.38 no.6_2
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• pp.1743-1747
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• 2022

Sentinel-2 can be used as proxy data for the Korean Compact Advanced Satellite 500-4 (CAS500-4), also known as Agriculture and Forestry Satellite, in terms of spectral wavelengths and spatial resolution. This letter examined cloud detection for later use in the CAS500-4 based on deep learning technologies. DeepLabV3+, a traditional Convolutional Neural Network (CNN) model, and Shifted Windows (Swin) Transformer, a state-of-the-art (SOTA) Transformer model, were compared using 22,728 images provided by Radiant Earth Foundation (REF). Swin Transformer showed a better performance with a precision of 0.886 and a recall of 0.875, which is a balanced result, unbiased between over- and under-estimation. Deep learning-based cloud detection is expected to be a future operational module for CAS500-4 through optimization for the Korean Peninsula.

• Korean Journal of Remote Sensing
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• v.39 no.5_4
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• pp.1125-1134
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• 2023

Out of the total 17,000 reservoirs in Korea, 13,600 small agricultural reservoirs do not have hydrological measurement facilities, making it difficult to predict water storage volume and appropriate operation. This paper examined univariate and multivariate long short-term memory (LSTM) modeling to predict the storage rate of agricultural reservoirs using remote sensing and artificial intelligence. The univariate LSTM model used only water storage rate as an explanatory variable, and the multivariate LSTM model added n-day accumulative precipitation and date of year (DOY) as explanatory variables. They were trained using eight years data (2013 to 2020) for Idong Reservoir, and the predictions of the daily water storage in 2021 were validated for accuracy assessment. The univariate showed the root-mean square error (RMSE) of 1.04%, 2.52%, and 4.18% for the one, three, and five-day predictions. The multivariate model showed the RMSE 0.98%, 1.95%, and 2.76% for the one, three, and five-day predictions. In addition to the time-series storage rate, DOY and daily and 5-day cumulative precipitation variables were more significant than others for the daily model, which means that the temporal range of the impacts of precipitation on the everyday water storage rate was approximately five days.