• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2021년도 추계학술발표대회
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• pp.681-684
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• 2021

In this paper, we study image clustering without labeling using machine learning techniques. We proposed an unsupervised machine learning technique to design an image clustering model that automatically categorizes images into groups. Our experiment focused on inception convolutional neural networks (inception V3) with k-mean methods to cluster images. For this, we collect the public datasets containing Food-K5, Flowers, Handwritten Digit, Cats-dogs, and our dataset Rice Germination, and the owner dataset Palm print. Our experiment can expand into three-part; First, format all the images to un-label and move to whole datasets. Second, load dataset into the inception V3 extraction image features and transferred to the k-mean cluster group hold on six classes. Lastly, evaluate modeling accuracy using the confusion matrix base on precision, recall, F1 to analyze. In this our methods, we can get the results as 1) Handwritten Digit (precision = 1.000, recall = 1.000, F1 = 1.00), 2) Food-K5 (precision = 0.975, recall = 0.945, F1 = 0.96), 3) Palm print (precision = 1.000, recall = 0.999, F1 = 1.00), 4) Cats-dogs (precision = 0.997, recall = 0.475, F1 = 0.64), 5) Flowers (precision = 0.610, recall = 0.982, F1 = 0.75), and our dataset 6) Rice Germination (precision = 0.997, recall = 0.943, F1 = 0.97). Our experiment showed that modeling could get an accuracy rate of 0.8908; the outcomes state that the proposed model is strongest enough to differentiate the different images and classify them into clusters.

• 한국작물학회지
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• 제62권3호
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• pp.184-192
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• 2017

본 연구는 아밀로스 함량이 다양한 5가지 쌀 품종별 제분방법에 따른 쌀가루 이화학적, 식품학적 특성을 분석하고 다양한 가공이용성 구명을 위한 기초자료로 활용하고자 한다. 1. 품종별 습식 및 건식 쌀가루의 수분특성을 분석한 결과, $50^{\circ}C$에 비해 $80^{\circ}C$에서 건식쌀가루의 WAI, WSI가 가장 높은 결과를 나타내었고, 특히 '백옥찰'이 높은 수분흡착 및 수분용해지수를 나타내었다. 팽윤력의 경우는 아밀로스 함량과 부의상관관계를 보였고, 습식보다는 건식쌀가루의 팽윤력이 높았다. 2. 손상전분 함량은 건식쌀가루에서 높았고, 품종별 손상전분 함량은 '백옥찰>새고아미>미호>도담쌀>일품' 순으로 나타났다. 습식쌀가루의 손상전분 함량은 '백옥찰>미호>일품>새고아미>도담쌀'로 나타나 아밀로스 함량과 부의 상관관계를 보였다. 3. 가용전분함량은 '일품과 새고아미'를 제외하고, 습식으로 제분하였을 때 증가하였고, 저항전분함량은 '도담쌀'을 제외하고는 제분방법 관계없이 1% 미만이었다. '도담쌀'의 건식쌀가루 저항전분 함량은 9.18로서 습식쌀가루 6.27에 비하여 높게 나타나 가공용도에 따라서는 건식제분이 효과적일 것으로 보였다. 4. 건식쌀가루가 습식쌀가루에 비해 최고점도 및 최저점도가 높았으며, 치반점도의 경우 제분방법에 관계없이 '백옥찰'이 가장 낮은 결과를 보였다. 고아밀로스 '도담쌀'의 경우, 제분방법 및 온도변화 관계없이 점도변화가 크지 않았으며 점도가 가장 낮은 특성을 보였다. 5. 제분방법에 다른 쌀가루 품종별 혈당지수는 57.6~81.3의 범위를 나타내었고, 습식 제분 했을 경우 혈당지수가 올라가는 경향을 보였으며, '도담쌀'을 제외하고는 품종간 차이는 두드러지지 않았다. '일품과 새고아미'의 건식쌀가루의 혈당지수는 낮은 경향을 나타내었고, 특히 '도담쌀'은 가장 낮은 전분 가수분해 지수 및 혈당지수를 나타내었다.

• 농업과학연구
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• 제14권1호
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• pp.98-133
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• 1987

The mechanical and rheological properties of agricultural materials are important for engineering design and analysis of their mechanical harvesting, handling, transporting and processing systems. Agricultural materials, which composed of structural members and fluids do not react in a purely elastic manner, and their response when subjected to stress and strain is a combination of elastic and viscous behavior so called viscoelastic behavior. Many researchers have conducted studies on the mechanical and rheological properties of the various agricultural products, but a few researcher has studied those properties of rice plant, and also those data are available only for foreign varieties of rice plant. This study are conducted to experimentally determine the mechanical and the rheological properties such as axial compressive strength, tensile strength, bending and shear strength, stress relaxation and creep behavior of rice stems, and grain detachment strength. The rheological models for the rice stem were developed from the test data. The shearing characteristics were examined at some different levels of portion, cross-sectional area, moisture content of rice stem and shearing angle. The results obtained from this study were summarized as follows 1. The mechanical properties of the stems of the J aponica types were greater than those of the Indica ${\times}$ Japonica hybrid in compression, tension, bendingand shearing. 2. The mean value of the compressive force was 80.5 N in the Japonica types and 55.5 N in the Indica ${\times}$ Japonica hybrid which was about 70 percent to that of the Japonica types, and then the value increased progressively at the lower portion of the stems generally. 3. The average tensile force was about 226.6 N in the Japonica types and 123.6 N in the Indica ${\times}$ Japonica hybrid which was about 55 percent to that of the Japonica types. 4. The bending moment was $0.19N{\cdot}m$ in the Japonica types and $0.13N{\cdot}m$ in the Indica ${\times}$ Japonica hybrid which was 68 percent to that of the Japonica types and the bending strength was 7.7 MPa in the Japonica types and 6.5 MPa in the Indica ${\times}$ Japonica hybrid respectively. 5. The shearing force was 141.1 N in Jinju, the Japonica type and 101.4 N in Taebaeg, the Indica ${\times}$ Japonica hybrid which was 72 percent to that of Jinju, and the shearing strength of Taebaeg was 63 percent to that of Jinju. 6. The shearing force and the shearing energy along the stem portion in Jinju increased progressively together at the lower portions, meanwhile in Taebaeg the shearing force showed the maximum value at the intermediate portion and the shearing energy was the greatest at the portion of 21 cm from the ground level, and also the shearing strength and the shearing energy per unit cross-sectional area of the stem were the greater values at the intermediate portion than at any other portions. 7. The shearing force and the shearing energy increased with increase of the cross-sectional area of the rice stem and with decrease of the shearing angie from $90^{\circ}$ to $50^{\circ}$. 8. The shearing forces showed the minimum values of 110 N at Jinju and of 60 N at Taebaeg, the shearing energy at the moisture content decreased about 15 percent point from initial moisture content showed value of 50 mJ in Jinju and of 30 mJ in Taebaeg, respectively. 9. The stress relaxation behavior could be described by the generalized Maxwell model and also the compression creep behavior by Burger's model, respectively in the rice stem. 10. With increase of loading rate, the stress relaxation intensity increased, meanwhile the relaxation time and residual stress decreased. 11. In the compression creep test, the logarithmic creep occured at the stress less than 2.0 MPa and the steady-state creep at the stress larger than 2.0 MPa. 12. The stress level had not a significant effect on the relaxation time, while the relaxation intensity and residual stress increased with increase of the stress level. 13. In the compression creep test of the rice stem, the instantaneous elastic modulus of Burger's model showed the range of 60 to 80 MPa and the viscosities of the free dashpot were very large numerical value which was well explained that the rice stem was viscoelastic material. 14. The tensile detachment forces were about 1.7 to 2.3 N in the Japonica types while about 1.0 to 1.3 N in Indica ${\times}$ Japonica hybrid corresponding to 58 percent of Japonica types, and the bending detachment forces were about 0.6 to 1.1 N corresponding to 30 to 50 percent of the tensile detachment forces, and the bending detachment of the Indica ${\times}$ Japonica hybrid was 0.1 to 0.3 N which was 7 to 21 percent of Japonica types. 15. The detachment force of the lower portion was little bigger than that of the upper portion in a penicle and was not significantly affected by the harvesting period from September 28 to October 20. 16. The tensile and bending detachment forces decreased with decrease of the moisture content from 23 to 13 percent (w.b.) by the natural drying, and the decreasing rate of detachment forces along the moisture content was the greater in the bending detachment force than the tensile detachment force.

• 한국농림기상학회지
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• 제25권4호
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• pp.337-345
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• 2023

벼의 출수기를 추정하는 것은 농업생산성과 관련된 중요한 과정 중 하나이지만 세계적인 이상기후의 증가로 벼의 출수기를 추정하는 것이 어려워지고 있다. 본 연구에서는 CNN 분류모델을 사용하여 다양한 영상데이터에서 벼의 출수기를 추정하려고 시도하였다. 드론과 타워형 영상관측장치 그리고 일반 RGB 카메라로 촬영된 직하방과 경사각 영상을 수집하였다. 수집한 영상은 CNN 모델의 입력데이터로 사용하기 위해서 전처리를 진행하였고, 사용된 CNN 아키텍처는 이미지 분류 모델에서 일반적으로 사용되는 ResNet50, InceptionV3 그리고 VGG19 를 사용하였다. 각각의 아키텍처는 모델의 종류, 영상의 유형과 관계없이 0.98 이상의 정확도를 나타내었다. 또한 CNN 분류 모델이 영상의 어떤 특징을 보고 분류하였는지 시각적으로 확인하기 위해서 Grad-CAM 을 사용하였다. Grad-CAM 결과 CNN 분류 모델은 벼의 출수를 이삭의 형태에 높은 가중치를 두어 분류 하는 것을 확인하였다. 다음으로 작성된 모델이 실제 논 포장 모니터링 이미지에서 벼의 출수기를 정확하게 추정하는지 확인하였다. 각각 다른 지역 4 개의 벼 포장에서 벼의 출수기를 약 하루정도의 차이로 추정하는 것을 확인하였다. 이 방법을 통해서 다양한 논 포장의 모니터링 이미지를 활용하여 자동적이고 정량적으로 벼의 출수기를 추정 할 수 있다고 판단된다.

• Journal of Microbiology and Biotechnology
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• 제28권2호
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• pp.305-313
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• 2018

A microbial consortium, TMC7, was enriched for the degradation of natural lignocellulosic materials under high temperature. TMC7 degraded 79.7% of rice straw during 15 days of incubation at $65^{\circ}C$. Extracellular xylanase was effectively secreted and hemicellulose was mainly degraded in the early stage (first 3 days), whereas primary decomposition of cellulose was observed as of day 3. The optimal temperature and initial pH for extracellular xylanase activity and lignocellulose degradation were $65^{\circ}C$ and between 7.0 and 9.0, respectively. Extracellular xylanase activity was maintained above 80% and 85% over a wide range of temperature ($50-75^{\circ}C$) and pH values (6.0-11.0), respectively. Clostridium likely had the largest contribution to lignocellulose conversion in TMC7 initially, and Geobacillus, Aeribacillus, and Thermoanaerobacterium might have also been involved in the later phase. These results demonstrate the potential practical application of TMC7 for lignocellulosic biomass utilization in the biotechnological industry under hot and alkaline conditions.

• 한국포장학회지
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• 제20권1호
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• pp.7-15
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• 2014

Agar-based composite films were prepared with variety of food processing and agricultural processing waste materials in order to screen natural lingo-cellulosic resources for the value-added utilization of the under-utilized materials. The effect of these waste materials (10 wt% based on agar) on mechanical properties, moisture content (MC), water vapor permeability (WVP), water absorption behavior of biocomposite films were investigated. Biocomposite films prepared with various fibers resulted in significant increase or decrease in color and percent transmittance. The MC, WVP, and surface hydrophobicity of biocomposite films increased significantly by incorporation of fibers, while the water uptake ratio and solubility of the film decreased. SEM images of biocomposite film showed better adhesion between the fiber and agar polymer. Among the tested cellulosic waste materials, rice wine waste, onion and garlic fibers were promising for the value-added utilization as a reinforcing material for the preparation of biocomposite food packaging films.

• 현장농수산연구지
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• 제23권1호
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• pp.39-48
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• 2021

In this study, characteristics of solid-state fermentation distilled spirits with nuruk (fermentation starter) and sorghum were investigated. The starch digestion activity was highest in black koji (A. usamii) at 359.15 U/g dry base, white koji (A. luchuensis) at 306.98 and yellow koji (A. oryzae) at 15.31 was followed. The pH of the solid-state fermented mash in yellow, white and black koji showed 5.09, 4.46 and 4.50 respectively with significant differences (p<0.001). The total acid content of white and black koji was 0.73% as citric acid. The alcohol content of mash prepared with yellow, white and black koji was 4.34, 4.24, 3.89% respectively. The contents of reducing sugar showed 3.28, 3.23 and 2.64%. Total sugar were 14.88, 17.84 and 17.60% respectively. The alcohol content of each distillate ranged from 44.3 to 39.9%, and the furfural content in yellow koji was 1.25 times lower than the others.

• 한국식품영양학회지
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• 제24권4호
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• pp.777-785
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• 2011

비열처리가공기술 중 하나로 새롭게 주목받고 있는 초고압처리를 반고형 형태의 친환경 유기농 이유식 제조에 적용하여 완제품 형태로 제조 후 냉장 조건으로 저장하여 저장기간에 따른 제품 안전성을 조사하였다. 가열 처리를 하지 않고 550 MPa 압력에서 3분 동안 초고압 처리하여 냉장 상태로 15일 동안 저장한 결과, 일반세균과 대장균 모두 검출되지 않아 미생물학적 안전성을 확인할 수 있었으며, 초고압 처리를 하지 않은 대조군에서 일반세균이 $2.54{\times}10^3$, $7.85{\times}10^2$ CFU/g 수준으로 검출되었던 것과 비교했을 때 초고압 처리를 하는 것이 제품의 신선도를 살리고 제품의 안전성을 유지하기 위해 적합한 처리법이라고 판단되어진다. 초고압 처리를 통한 물성 변화는 처리 전 대조구와 점도, 스푼풀 현상을 비교하였을 때 큰 차이가 나타나지 않는 것으로 나타났고, 그 결과 사과의 신선한 상태를 유지하고 미생물학적 안전성 역시 유지하면서 냉장상태로 약 2주간 저장이 가능한 친환경 반고형 이유식을 제조할 수 있었다.

• 헤리티지:역사와 과학
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• 제57권3호
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• pp.90-101
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• 2024

조선시대 과거 응시자들이 제출한 답안지 혹은 채점지를 시권(試卷)이라고 하는데, 일반적으로 시지(試紙)는 응시자 본인이 마련했다. 당시 종이는 규격 제품으로 생산되지 않았기 때문에 크기 면에서나 가공 면에서 시지의 통일성이 없었다. 기본적으로 조선의 닥지는 낮은 불투명도를 가지고 있기 때문에 시권의 특성상 지면이 부족할 경우 뒷면까지 작성하기 위해서는 다양한 종이 가공법이 필요했다. 먹선이 매끄럽게 그어지도록 도침(搗砧)을 하거나 종이 표면에 가공을 하기도 했는데, 이와 다른 특이한 가공법을 적용한 19세기 시지가 있어 이번 연구를 진행하였다. 특이한 시권은 국립민속박물관 소장 1848년 이만기(李晩耆) 시권으로, 시지의 종이 사이에서 두껍게 도포된 불투명한 백색 물질이 발견되었다. 적외선분광광도계, 형광X-선분광기, 광학 및 편광현미경, 전자현미경 등 성분 분석을 통해 이 백색 물질은 쌀 전분으로 판단되었다. 이러한 분석 결과로부터, 이만기 시지는 쌀가루를 물에 수침하여 단백질을 상당량 제거한 후, 미량의 단백질이 포함된 습전분을 종이 사이에 도포하여 시지를 제작하였을 것으로 추정된다. 또한 시지 재현 실험을 통해 이러한 가공법으로 재현한 시지는 두껍고 백색도 및 불투명도가 높음을 확인하였다. 이는 당시 구하기 힘든 종이를 여러 장 사용하지 않아도 양면 사용이 가능한 양질의 종이를 얻을 수 있게 고안된 제작법으로 추정된다. 본 연구에서는 <이만기 시권(민속 71745)>만으로 시지 사이의 가공 물질을 밝혔으나, 이는 조선시대 시지 가공의 여러 가지 가공법 중의 하나로 보인다. 추후 유사 가공의 시지가 더 발견되어 시지 가공법에 대한 폭넓은 연구가 진행되길 기대한다.

• Journal of Biosystems Engineering
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• 제26권2호
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• pp.141-146
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• 2001

Lots of the agricultural information come from human experiences and are in non-numerical forms. Therefore, it is difficult to process to be processed in a conventional data processing way. An internet expert system for agricultural application using the ASP(active server page) was developed to solve this problem and consisted of databases, an inference engine, and an user interface. The databases were composed of rule base, question base and link data. The inference engine was developed with the ASP for connection with web between databases. The used interface was developed with the CGI(common gateway interface), so that question could be answered on a web browser, and the session technique was used to provide proper result to each of multi-users. A prototype internet expert system was developed for diagnosis of diseases and nutritional disorders of paddy rice. The expert system was interactively worked through WWW(world wide web) at remote sites by multi-users, even at the same time. The rule base could be easily updated and modified from a web server computer by a knowledge engineer.