인공지능은 4차 산업혁명의 프레임이 소개된 이후 점차 보편적인 기술로 자리를 잡아가고 있으며, 인공지능 관련 특허 출원도 크게 증가하고 있다. 최근에는 특허 생태계가 출원 건수 위주의 양적 경쟁에서 고품질의 특허 확보라는 질적 경쟁으로 패러다임이 변화되면서, 저품질 특허로 인한 비용 손실에 관심이 높아지고 있다. 이러한 배경으로 본 연구에서는 머신러닝과 Doc2Vec 알고리즘을 활용하여 특허 품질을 예측하는 방법을 제안하고자 한다. 본 연구를 위해 WIPO에서 정의한 CPC 코드를 활용하여 미국 특허청(USPTO)에 등록된 인공지능 관련 특허 데이터를 추출하였고, 이를 통해 정형 데이터 기반 19개 변수, 비정형 데이터 기반 7개 변수를 개발하였다. 특히, 새롭게 제안하는 Doc2Vec 알고리즘을 이용한 제목과 초록 텍스트 유사도 변수는 고품질 특허를 예측하는데 영향을 미칠 것으로 판단된다. 이에 유사도 변수의 효과를 확인하기 위해 유사도 변수를 포함한 앙상블 기반 머신러닝 모델과 포함하지 않은 모델을 개발하여 비교하였다. 실험 결과, 유사도 변수를 포함한 모델이 AUC 0.013, f1-score 0.025가 높게 나타나 더 우수한 성능을 보였다. 이는 유사도 변수가 고품질 특허 예측에 기여한다는 것을 시사한다. 또한, SHAP을 이용하여 블랙박스 형태의 머신러닝 변수 영향도를 설명하였다. 본 연구를 통해 핵심 기술 분야인 인공지능과 같은 영역에서 특허의 품질을 예측하고, 고품질 특허 개발을 장려함으로써 사회적 가치를 실현하는 데 기여할 수 있을 것으로 기대한다.

The spectrum of this study was research on the closed hydroponic cultivation of netted melons (Cucumis melo L.) using coir substrate, analyzing the impact of this cultivation method on melon yield, fruit quality, and the efficiency of water and nutrient usage. The experimental results showed that the average fruit weight of the melons grown in a closed system was 71.4 g higher than that of the open system, and the fruit width was on average 0.2 cm larger, showing a statistically significant difference. However, there was no difference in the average sugar content of the fruit flesh and height. Although there is no substantial commercial difference, it is conjectured that the change in the macronutrients ratio in the irrigation has played a role in the statistically significant increase in fruit weight, which is attributed to changes in the crops' nutrient uptake concentrations. This necessitates further research for a more comprehensive understanding. In terms of the productivity of irrigation required to produce the fruit, applying the closed system resulted in an increase of 7.6 kg/ton compared to the open system, saving 31.6% of water resources. Additionally, in terms of nutrients, cultivating in a closed system allowed for savings of approximately 59, 25, 55, 83, 76, and 87% of N, P, K, Ca, Mg, and S, respectively, throughout the entire cultivation period. As the drainage was reused, the ratios of NO3 - and Ca2+ increased up to a maximum of 9.6 and 9.1%, respectively, while the ratios of other ions gradually decreased. In summary, these results suggest that closed hydroponic cultivation can effectively optimize the use of water and fertilizer while maintaining excellent fruit quality in melon cultivation.

This study was conducted to determine the optimal irrigation starting point by analyzing tree growth, physiological responses, fruit quality, and productivity in peach orchards. Seven-year-old ‘Kawanakajima Hakuto’ peach trees were used in an experimental field (35°49′30.4″N, 127°01′33.2″E) located within the National Institute of Horticultural and Herbal Science located in Wanju-gun, Jeollabuk-do. The irrigation starting point was set with four levels of –20, –40, –60, and –80 kPa from June to September 2022. While there were no significant differences in increase of trunk cross-section area and leaf area among treatments, shoot length and diameter decreased in the –80 kPa and –20 kPa treatments. The photosynthetic rate measured in August was highest for –60 kPa (17.7 μmol·m-2·s-1), followed by –40 kPa (15.6 μmol·m-2·s-1), –20 kPa (14.5 μmol·m-2·s-1) and –80 kPa (14.0 μmol·m-2·s-1). SPAD value measured in May and August was lower in the –80 kPa and –20 kPa treatments than in the –60 kPa and –40 kPa treatments. The harvest date reached three days earlier in the –20 kPa treatment compared to other treatments. The fruit weight was highest in the –60 kPa (379.1 g), followed by –40 kPa (344.0 g), –80 kPa (321.0 g) and –20 kPa (274.9 g). Firmness was the lowest in the –20 kPa treatment. The soluble solid content was highest in the –60 kPa treatment (13.3°Bx).The ratio of marketable fruits was highest in the –60 kPa treatment (50.7%) and lowest in the –80 kPa treatment (23.4%). In conclusion, we suggest that setting the irrigation starting point at –60 kPa could improve the fruit quality and yield in peach orchards.

In recent years, the government has strongly promoted multi-purpose utilization of paddy field. However, poor drainage causes waterlogging stress in upland crops, requiring subsurface drainage technology, resulting in high installation and management costs. To address this issue, a low-cost and high-efficiency technique was developed that utilizes wasted coir substrates which have characteristics of high porosity and good drainage, for upland crop cultivation in paddy fields. Soybeans were grown in both paddy soil and wasted coir slab with two planting densities (80×20 cm and 60×20 cm). The results showed that the coir substrates had better performance than the paddy soil in terms of soil physical and chemical properties and the growth and yield of upland crops are improved. The treatments using wasted coir substrate showed a 41.4% increase in yield and a 21.3% increase in protein content compared to PS treatment. Our findings demonstrate that recycling waste coir substrates to grow upland crops is a positive cultivation strategy to solve some drainage problems in paddy fields. This approach offers a sustainable solution for upland crop production while also addressing the issue of waste management in agriculture.

Melon fruits exhibit a wide range of morphological variations in fruit shape, sugar content, net quality, diameter and weight, which are largely dependent on the variety. These characteristics significantly affect marketability. For netted varieties, the uniformity and pattern of the net serve as key factors in determining the external quality of the melon and act as indicators of its internal quality. In this study, we evaluated the effect of fruit morphology and growth on netting by analyzing the changes in melon fruit quality under LED light treatment and monitoring fruit growth. Computer vision analysis was used for quantitative evaluation of fruit net quality, and a three-variable logistic model was applied to simulate fruit growth. The results showed that melons grown under LED conditions exhibited more uniform fruit shape and improvements in both net quality and sugar content compared to the control group. The results of the logistic model showed minimal error values and consistent curve slopes across treatments, confirming its ability to accurately predict fruit growth patterns under varying light conditions. This study provides an understanding of the effects of fruit shape and growth on net quality.

This study was conducted on four types of laver soup prepared using recipes from Gangwon-do (GW), Gyeongsangnamdo (GN), Jeollanam-do (JN), and the media (MD). Salinities, soluble solids, free amino acids, color values, turbidities, and pH values of soups were measured, and sensory evaluations were done. pH values were significantly higher for GW and GN recipes than the JN and MD recipes (p<0.05). The salinities of JN and MD were significantly higher than those of the other soups (p<0.05). Regarding soluble solids, JN had the highest at 2.64oBrix, whereas GW had the lowest at 0.86 °Brix (p<0.05). GW and JN had higher concentrations of valine, phenylalanine, and glutamic acid (p<0.05). JN had significantly higher redness (a) than the other soups but significantly lower lightness (L) and yellowness (b) (p<0.05). Regarding transmittance, GW had a significantly higher value (67.67%T) than the other soups. JN and MD had higher acceptability results than GW or GN in terms of flavor, mouthfeel, and overall acceptability. Sensory intensity evaluations revealed that JN and MD had higher “soy sauce aroma” and “saltiness” and a greater “broth turbidity” than the other soups. These results indicate that the physicochemical and sensory characteristics of regional laver soups differ.

In this study, we aimed to develop a fermented green rice beverage with a unique flavor and physiological function activity. With glutinous green rice and rice nuruk as independent variables, we modeled the antioxidant characteristics and α-glucosidase, α-amylase inhibitory activity of glutinous green rice fermented beverage to verify its significance. The total flavonoid content and α-glucosidase inhibitory activity were selected as Quadratic models, and DPPH radical scavenging ability and α-amylase inhibitory activity were selected as linear models. For the sensory characteristics of glutinous green rice fermented beverage, sweetness, sourness, savory taste, bitterness, throat feel, nuruk scent, and overall preference increased in preference as the amount of glutinous green rice and rice nuruk increased, but significantly decreased after the center point (p<0.01). A blending ratio of 180.00 g of glutinous green rice and 400.00 g of rice nuruk had the highest preference among all the sensory items. Based on these results, we developed a green rice fermented beverage with unique flavor and physiological function activity of rice using glutinous green rice and rice nuruk, and the optimal blending ratio was determined to be 164.04 g of white rice, 195.96 g of glutinous green rice, and 414.61 g of rice nuruk.

This study aimed to investigate the effects of Centella asiatica powder on the quality characteristics and storage stability of goat meat Tteokgalbi. The goat meat Tteokgalbi samples were prepared with four different quantities (0, 0.5, 1, and 1.5%) of Centella asiatica powder. The moisture content of the samples containing Centella asiatica powder was significantly lower than that of the control (p<0.05). The protein content of the samples containing Centella asiatica powder was significantly higher than that of the control (p<0.05). As the proportion of Centella asiatica powder increased, the pH, L*, and a* values of the uncooked and cooked samples decreased (p<0.05). The water holding capacity and the cooking yield of the uncooked and cooked samples were higher in the samples containing Centella asiatica powder than in the control (p<0.05). Also, with the increasing amounts of the Centella asiatica powder, the thiobarbituric acid reactive substance (TBARS) levels decreased. The 1-1.5% Centella asiatica powder group showed lower levels of volatile basic nitrogen (VBN) than the other groups as per the assay (p<0.05). The results indicate that Centella asiatica powder could enhance the quality characteristics and storage stability of goat meat Tteokgabi.