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대두박(大豆粕)의 Formaldehyde 처리와 단백질 아미노산의 이용율 그리고 단백질 이용률 평가
박호성,맹원재,장문백,송병춘 한국영양사료학회 1988 韓國營養飼料學會誌 Vol.12 No.6
大豆粕을 0, 0.3, 0.6, 그리고 0.9% formaldehyde로 處理한 後 各種 溶液에 의한 溶解度를 비교하였고 nylon bag과 pepsin-trypsin處理에 의한 蛋白質 및 아미노酸의 利用率을 平價하였다. 그리고 nylon bag과 pepsin-trypsin에 의한 蛋白質의 利用率 平價와 protease에 의한 蛋白質 利用率 平價方法을 비교하였다. ADF 溶液에 의한 大豆粕 窒素의 溶解度는 formaldehyde 處理에 큰 영향을 받지 않았으나 NDF溶液, 10% Burroughs' buffer 溶液 그리고 酵素에 의한 溶解度는 無處理 大豆拍에 比해 formaldehyde處理 大豆粕은 현저히 減少되었다. Nylon bag에 의한 反芻胃內에서 消化된 蛋白質의 量은 處理水準이 0, 0.3, 0.6, 그리고 0.9%로 증가함에 따라 各各 85.45%, 33.72%, 15.85% 그리고 13.62%로 현저히 감소되어진 반면에 pepsin-trapsin에 의해서 消化된 量은 各各 13.22%, 60.02% 그리고 73.55%로 증가되었다. 總아미노酸의 nylon bag에 의한 反芻胃內에서 消化된 量은 無處理 大豆粕이 83.75%인데 비해 0.6% formaldehyde 處理 大豆粕은 10.63%였으며 pepsin-typsin에 의해 消化된 量은 各各 14.50%와 77.00%로서 formaldehyde 處理에 의한 反芻胃內 分解率이 월등히 감소되었고 小腸內 消化된 量이 크게 증가되었다. 大豆蛋白質의 protease에 의한 實驗室的 平價는 nylon bag과 pepsin-tripsin에 의한 平價方法과 유사한 결과를 얻을 수 있었다. Soybean meal was treated with 0, 0.3, 0.6, and 0.9 % formaldehyde air dry basis and measured solubilities and the protein and amino acid availability by nylon bag inserted in the rumen of fistulated steer and pepsin-trypsin treatment. Soybean protein fractions were evaluated with nylon bag and pepsin-trypsin and protease in laboratory method. Nitrogen solubilities with ADF solution were not much different from untreated and formaldehyde treated soybean meal, but NDF, Burroughs buffer solution and enzymes were decreased greatly the solubilities of soybean meal nitrogen after formaldehyde treatment. The ruminal disappearance of soybean meal nitrogen estimated by nylon bag technique were decreased by increasing formaldehyde treatment levels and were 85.45%, 33.72 %, 15.85% and 13.62%, respectively with 0.3, 0.6, and 0.9% formaldehyde treatment levels. On the other hand nitrogen disappearance of soybean meal estimated by pepsin-trypsin were 13.22%, 60.02 %, 73.55% and 73.55 % respectively with given formaldehyde levels. The total amino acid disappearance in the rumen and pepsin-trypsin were 83.75 % and 10.63% with untreated soybean meal and 14.50 % and 7.00 % with 0.6 % fomlaldehyde treated soybean meal. Evaluation of available protein fraction of soybean meal with nylon bag and pepsin-trypsin and protease were comparable method.
정보 입자화와 유전자 알고리즘에 기반한 자기구성 퍼지 다항식 뉴럴네트워크의 새로운 접근
박호성,오성권,김현기 대한전기학회 2006 전기학회논문지 D Vol.55 No.2(D)
- In this paper, we propose a new architecture of Information Granulation based genetically optimized Self-Organizing Fuzzy Polynomial Neural Networks (IG_gSOFPNN) that is based on a genetically optimized multilayer perceptron with fuzzy polynomial neurons (FPNs) and discuss its comprehensive design methodology involving mechanisms of genetic optimization, especially information granulation and genetic algorithms. The proposed IG_gSOFPNN gives rise to a structurally optimized structure and comes with a substantial level of flexibility in comparison to the one we encounter in conventional SOFPNNs. The design procedure applied in the construction of each layer of a SOFPNN deals with its structural optimization involving the selection of preferred nodes (or FPNs) with specific local characteristics (such as the number of input variables, the order of the polynomial of the consequent part of fuzzy rules, and a collection of the specific subset of input variables) and addresses specific aspects of parametric optimization. In addition, the fuzzy rules used in the networks exploit the notion of information granules defined over system's variables and formed through the process of information granulation. That is, we determine the initial location (apexes) of membership functions and initial values of polynomial function being used in the premised and consequence part of the fuzzy rules respectively. This granulation is realized with the aid of the hard c-menas clustering method (HCM). To evaluate the performance of the IG_gSOFPNN, the model is experimented with using two time series data(gas furnace process and NOx process data).