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Interpretation of the 勿/毋+巳+V/(于)+N and Other Related Constructions in Shang Chinese: Part I
Ken-ichi TAKASHIMA 세계한자학회 2023 世界漢字硏究 Vol.6 No.2
This paper attempts to show that the word s? 巳(祀) used after the negative w? 勿 or w? 毋 functions as a “Vintransitive” (all the abbreviations and references used in this paper are given at the end of Part I). As such, it forms a VP, 勿/毋V1V2, where V2 is always one of the six “Type-A ritual Vs”—one being d?o 禱 ‘to pray’, the rest given in the paper. The semantic relationship between V1 (巳/祀) and V2 is closely examined. There are also inscriptions in which V1 is used before y? 于, a “multidirectional” preposition. This is labelled as “Nloc in the sense of ‘in, at’ (not ‘to, for’)” in the construction given in the title. The paper accounts for its motive principle. The paper argues that 巳/祀 is a Vaction meaning “conduct s?-providential ritual”. It was done at a place to seek divine direction and guidance from the deity or Power believed to have dwelt in situ. Originally presented in Takashima (2009a), this paper delves further into linguistic, philological, and cultural aspects of the 巳-ritual couched in the VP, 勿/毋V1(=巳/祀)V2. A major reason for its use is to contrast the 巳-ritual with other rituals and sacrifices. The details will be explained with examples. Part I covers “Examination I: Zh? Sh?ngy?’s Questions and Zh?ng Y?j?n’s Interpretation”. The paper answers the former and evaluates the latter. Part II begins with “Examination II: Qi? X?gu?’s Interpretation” and ends with the conclusions of the entire paper.
Joao Gari da Silva, Fonseca Jr.,Oozeki, Takashi,Ohtake, Hideaki,Shimose, Ken-ichi,Takashima, Takumi,Ogimoto, Kazuhiko The Korean Institute of Electrical Engineers 2013 The Journal of International Council on Electrical Vol.3 No.2
The objective of this study is to analyze 3 approaches to objectively set the configuration parameters of a support vector regression algorithm to forecast insolation. The approaches were based on techniques such as multifold cross-validation, grid search, and frequency analysis. The ${\nu}$ support vector regression with a Gauss function as kernel function was used to forecast insolation. The configuration parameters set were the cost parameter, the gamma parameter in the kernel function, and the ${\nu}$ parameter. The analysis was done using weather related data of Tsukuba city in Japan, from January to December of 2009. The results show that variations of the forecast errors caused by using the different approaches were small, 4.5% in the worst case. Moreover, any of the proposed approaches yielded forecasts of insolation with annual root mean square errors lower than $0.12kWh/m^2$ and mean absolute errors lower than $0.07kWh/m^2$, what shows their applicability.