CAN與RS232轉(zhuǎn)換節(jié)點的設(shè)計與實現(xiàn)
介紹將CAN總線接口與RS232總線接口相互轉(zhuǎn)換的設(shè)計方法和2種總線電平轉(zhuǎn)換關(guān)系，實現(xiàn)CAN總線與各模塊的接口設(shè)計，制定了相應(yīng)的軟硬件設(shè)計方案，并給出軟件設(shè)計流程圖以及部分硬件設(shè)計原理圖。為CAN總線與RS232總線互聯(lián)提供了一種方法，對CAN總線與RS232總線接口設(shè)備的互聯(lián)和廣泛應(yīng)用的實現(xiàn)具有重要意義。關(guān)鍵詞：CAN總線；RS-232總線；串行通信Design and Realization of CAN and RS232 Transformation NodeZhou Wei, CHENG Xiao-hong(Information Institute, Wuhan University of Technology, Wuhan 430070)【Abstract】This paper introduces one design method of the CAN bus interface and the RS232 bus interface interconversion, emphasizes two kindof bus level transformation relations, realizes the CAN bus and various modules connection design, formulates the design proposal of correspondingsoftware and hardware, and gives the flow chart of software design as well as the partial schematic diagram of hardware design. It providesonemethod for the CAN bus and the RS232 bus interconnection, has the vital significance to widespread application realization of the CAN busand theRS232 bus interface equipment interconnection.【Key words】CAN bus; RS-232 bus; serial communication
Description: FASBIR(Filtered Attribute Subspace based Bagging with Injected Randomness) is a variant of Bagging algorithm, whose purpose is to improve accuracy of local learners, such as kNN, through multi-model perturbing ensemble.
Reference: Z.-H. Zhou and Y. Yu. Ensembling local learners through multimodal perturbation. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, 2005, vol.35, no.4, pp.725-735.
Description: S-ISOMAP is a manifold learning algorithm, which is a supervised variant of ISOMAP.
Reference: X. Geng, D.-C. Zhan, and Z.-H. Zhou. Supervised nonlinear dimensionality reduction for visualization and classification. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, 2005, vol.35, no.6, pp.1098-1107.
Description: C4.5Rule-PANE is a rule learning method which could generate accurate and comprehensible symbolic rules, through regarding a neural network ensemble as a pre-process of a rule inducer.
Reference: Z.-H. Zhou and Y. Jiang. Medical diagnosis with C4.5 rule preceded by artificial neural network ensemble. IEEE Transactions on Information Technology in Biomedicine, 2003, vol.7, no.1, pp.37-42.
使用神經(jīng)網(wǎng)絡(luò)集成方法診斷糖尿病,肝炎,乳腺癌癥的案例研究.
4、 編寫一個過程。要求：有一個輸入?yún)?shù)和一個輸出參數(shù)，過程里面要有自定義異常。從學(xué)生表中（tab_student）中尋找符合指定學(xué)號等于輸入?yún)?shù)的值，然后將找到的學(xué)生的姓名賦予輸出參數(shù)，如果沒有符合條件的值則觸發(fā)異常。
Create table tab_student
(sno char(8),
sname varchar2(20),
age integer,
province varchar2(60),
sex char(4))
insert into tab_student values(‘001’,’Zhou’,20,’江蘇徐州’,’男’)
上述表已經(jīng)創(chuàng)建，只需針對此表編寫即可。
