http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
특허의 내적.외적 가치산정요인을 고려한 입체적 특허평가모델: 아레니우스 화학반응속도론 기반의 특허수명예측
최용묵,이재원,조대명,Choi, Yong Muk,LEE, JAEWON,Cho, Daemyeong 한국디지털정책학회 2021 디지털융복합연구 Vol.19 No.6
특허수명은 특허가치를 평가하는 척도로 사용되어 왔다. 본 연구에서는 특허수명을 예측하여 개별특허의 가치를 평가함에 있어, 특허의 내적가치요소와 외적가치요소를 하나의 모델로 평가하기 위하여 화학반응속도 추정식으로 널리 알려진 아레니우스식을 사용한 새로운 평가모델을 제시하였다. 한국의 소멸된 특허데이터를 활용하여 평가모델의 성능을 검증하였으며, 선행연구에서 특허평가모델로 사용되었던 SVM, Logistic reg., ANN 모델과 성능을 비교하였다. 결과적으로, 제안한 평가모델이 다른 모델 보다 정확도가 높았으며, 특허권자의 특성을 고려한 상대체감비용지수 반영 시 여러 평가모델에서 정확도가 상승하는 경향을 보였다. 또한, 특허의 예측수명등급과 특허의 실제수명과는 강한 상관관계가 있었다. 이러한 평가모델은 대량의 특허를 객관적으로 신속하게 평가할 수 있으며 특허의 유지여부에 대한 의사결정 혹은 기술거래나 평가에 활용할 수 있다. 특히, 평가목적에 따라 특허만을 평가하거나 사업화주체나 기술적 특성을 고려한 평가가 필요한 경우에 각각 사용될 수 있다. This study is a new evaluation using the Arrhenius equation, which is known as the chemical reaction rate estimation equation, to evaluate the intrinsic and extrinsic value elements of patents as a model. The performance of the evaluation model was superior to the SVM, Logistic reg. and ANN models that were used as patent evaluation models in prior studies. In addition, there was a strong correlation between the predicted lifespan of the patent and the actual lifespan of the patent. These evaluation models may be used for evaluation purposes only, or if an evaluation is required, including a commercialization entity or technical characteristics.
최용묵 ( Yong Mook Choi ) 대한내과학회 1970 대한내과학회지 Vol.13 No.7
Any cardiovascular disease that can induce left atrial abnormality, anatomical or functional, may develop abnormal P waves on electrocardiogram. Many criteria have been introduced to analyze P waves in various cardiac diseases. In this study, 50 cases of m
최한규(Choi Han Kyu),백경원(Baek Kyung Won),최용묵(Choi Yong Mook),최진우(Choi Jin Woo) 강원대학교 산업기술연구소 2001 産業技術硏究 Vol.21 No.1
This research was conducted with the aim of efficiently managing large scale of rivers such like Songyang-river through predicting water quality change with analyzing the characteristics of the flowing in nutrients and pollutants. The main result will be used as basic data for effectively operating reservoirs through controling water quality and quantity. The relationship between quantity of flow and water quality was analyzed and pollution loading into the basin was estimated. Three areas of Soyang-river upstream and one area of Suip-cheon in Yanggu-gun were selected as research sites. Flow and water quality were measured simultaneously. The relation between quantity of discharge and pollution concentration and between quantity of discharge and pollution loading were analyzed by statistical method, respectively. We provided a rating curve through measuring quantity of discharge(collection quantity of discharge)and pollutograph and pollution loading curve through water quality data. Also, we analyzed the correlation between quantity of discharge per unit area and pollution loading per unit area in each basin. As resurt of this research, Buk-cheon spot revealed an excellent first grade water quality for the items including BOD₅, DO, and SS. The correlation coefficient between Buk-cheon spot’s quantity of discharge and pollution loading was 0.896~0.996, showing the validity of analysis applying correlation curve formula of quantity of discharge and pollution loading in the same spot. Also, pollution loading per unit area of the items including BOD₅, COD, DO, SS, T-N, T-P increased as area of basins get increased following the sequence of Buk-cheon, Suip-cheon, Naelin-cheon spots.
최한규(Choi Han Kyu),김남원(Kim Nam Won),최용묵(Choi Yong Mook),윤희섭(Yoon Hee Sub) 강원대학교 산업기술연구소 2001 産業技術硏究 Vol.21 No.1
Normally at a flood season the operation of the dam depends on a short range weather forecast that makes many difficulties of the management at a dry season. It is needed to study the pattern of the long period rainfall. The concept of PMP(Probable Maximum Precipitation) was used for designing dam. From the concept, this study is applied the concept of monthly probable maximum precipitation for operating dam. It can be possible to let us know the appropriateness of a limiting water level at a rainy season. For the operation of dam at a dry season this study can predict roughly the flood season’s pattern of precipitation by month or period, therfore the prediction of precipitation can rise efficient operation of a dam.
최한규(Choi Han Kyu),최용묵(Choi Yong Mook),전광제(Jeon Kwang Je) 강원대학교 산업기술연구소 2000 産業技術硏究 Vol.20 No.1
A past monthly data is not faithful so much for a short term. But, the stochastic generation technique was provide of a long-term data. Thus this study is used a data which generated a monthly inflow amounts data by Thomas-Fiering model. This model is needed a certain process which determination of distribution, decision of continuous durability, etc. It was generated a inflow data every one month as Thomas-Fiering method. The generated inflow data was used input data for a monthly cumulative analysis. This analysis obtained a storage capacities which would be required during droughts having various return periods. It was presented a equation of fitting regression that carried out regression analysis of 5,10, 20, 50 years period.