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Local Wisdom-Based Character Education Model in Elementary School in Bantu1 Yogyakarta Indonesia
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作者 Rukiyati Sugiyo L. Andriani Purwastuti 《Sino-US English Teaching》 2017年第5期299-308,共10页
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Does investor protection affect the choice of earnings management methods through real activity manipulation and accrual manipulation? Asian comparison 被引量:4
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作者 Ratna Candra Sari Sony Warsono Sri Suryaningsum 《Journal of Modern Accounting and Auditing》 2010年第6期1-13,共13页
关键词 收益管理系统 投资者 操纵 亚洲 保护 实时管理 管理者 保障
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Development of Chloride Electrode Coated Wire and Composite Systems for Determination Chloride Ion in Gunungkidul Spring Water
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作者 Suyanta Sunarto Susila Kristianingrum Tanti Hidayah 《Journal of Chemistry and Chemical Engineering》 2014年第7期662-667,共6页
关键词 复合系统 氯离子 氯电极 测定 离子选择性电极 F-检验 涂塑 泉水
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DETERMINING HYDROCARBON PROSPECTIVE ZONE USING THE COMBINATION OF QUALITATIVE ANALYSIS AND FUZZY LOGIC METHOD
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作者 Hidayah Nurul Hasanah Zen Laila Wahyu Trimartanti +1 位作者 Zaenal Abidin Agus Maman Abadi 《Journal of Systems Science and Systems Engineering》 SCIE EI CSCD 2017年第4期463-474,共12页
Hydrocarbon prospective zone is a certain layer in a reservoir which is estimated producing oil. The geologists use the qualitative analysis method to find the prospect layers. The research used five variables modeled... Hydrocarbon prospective zone is a certain layer in a reservoir which is estimated producing oil. The geologists use the qualitative analysis method to find the prospect layers. The research used five variables modeled by three fuzzy membership functions and eight rules of fuzzy logic. The rules cause insensitiveness in the working system. This study therefore was conducted by modeling each of input variables into different models using 36 rules. It aims to determine the existence of hydrocarbon prospective zone through a qualitative analysis in a reservoir using fuzzy inference system with Mamdani method. The data were taken from well log data in reservoir "X". There were some steps in doing this study, including fuzzification, inference system, and defuzzification. The result showed 99 prospect layers from 3000 layers in reservoir "X" with 97.7% of accuracy. 展开更多
关键词 Well log fuzzy logic prospective zone HYDROCARBON qualitative analysis
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