An attempt study of fine course construction strategy of modern education technology, Starting from the modern education technology professional career goals, while, in curriculum setting, highlights the profession＇...An attempt study of fine course construction strategy of modern education technology, Starting from the modern education technology professional career goals, while, in curriculum setting, highlights the profession＇ s ＂Normal＂ , and ＂technical＂ and ＂managerial＂ character. And fully reflect the characteristics of higher vocational college and strengthen the ability of students to achieve a to job competency-based, employment-oriented training model. Through the construction of the core curriculum system, cultivating high-quality skilled training objectives Normal talents.展开更多
Elaborated the multimedia technologies in the teaching characteristic, definitely multimedia technical superiority at the same time, the union managed by the people university have used the question which in the multi...Elaborated the multimedia technologies in the teaching characteristic, definitely multimedia technical superiority at the same time, the union managed by the people university have used the question which in the multimedia technologies appears to propose some improvement method as well as in the multimedia technologies the question which should pay attention in the teaching. Proposed in the modem education media, the teacher reasonably chooses and utilizes the science teaching process through the teaching design which multimedia technical and the traditional teaching method organic synthesis forms, all played to the curriculum and the teaching method reform the positive role. The science uses the multimedia technologies, may avoid the multimedia technologies in classroom instruction application some erroneous zones, the realization teaching effect optimization.展开更多
To overcome the problem that soft sensor models cannot be updated with the process changes, a soft sensor modeling algorithm based on hybrid fuzzy c-means （FCM） algorithm and incremental support vector machines （I...To overcome the problem that soft sensor models cannot be updated with the process changes, a soft sensor modeling algorithm based on hybrid fuzzy c-means （FCM） algorithm and incremental support vector machines （ISVM） is proposed. This hybrid algorithm FCMISVM includes three parts： samples clustering based on FCM algorithm, learning algorithm based on ISVM, and heuristic sample displacement method. In the training process, the training samples are first clustered by the FCM algorithm, and then by training each clustering with the SVM algorithm, a sub-model is built to each clustering. In the predicting process, when an incremental sample that represents new operation information is introduced in the model, the fuzzy membership function of the sample to each clustering is first computed by the FCM algorithm. Then, a corresponding SVM sub-model of the clustering with the largest fuzzy membership function is used to predict and perform incremental learning so the model can be updated on-line. An old sample chosen by heuristic sample displacement method is then discarded from the sub-model to control the size of the working set. The proposed method is applied to predict the p-xylene （PX） purity in the adsorption separation process. Simulation results indicate that the proposed method actually increases the model＇s adaptive abilities to various operation conditions and improves its generalization capability.展开更多
Objective： By applying moxibustion to the eight confluent points in different periods of time, to observe the changes in thermal pain threshold latency of acupoints based on Fei Teng Ba Fa. Methods： A total of 468 h...Objective： By applying moxibustion to the eight confluent points in different periods of time, to observe the changes in thermal pain threshold latency of acupoints based on Fei Teng Ba Fa. Methods： A total of 468 healthy college student volunteers received moxibustion at the eight confluent points in three different periods of time, i.e. Chen （7：00-9：00）, Wu （11：00-13：00） and Xu （19：00-21：00）. The thermal pain threshold latency was adopted to measure the changes in pain threshold of the eight confluent points under different conditions （different periods of time, different genders, different acupoints and different states of the acupoints） based on Fei Teng Ba Fa. Results： Finally, thirty subjects dropped out and 438 subjects were included. The comparison of thermal pain threshold latencies of the eight confluent points in the same opening or closing state based on Fei Teng Ba Fa： latencies of the closing points and adjunct points were significantly different in different periods of time （P〈0.05）, the latencies of the males were significantly longer than those of the females （P〈0.05）; there was no significant difference in the latency between the left and right sides （P〉0.05）; in the female group, there was a significant difference in the latency between the lower-limb points and the upper-limb points （P〈0.05）. The comparison of thermal point threshold latencies of the eight confluent points in different opening or closing state： in the period of Wu （11：00-13：00）, the latencies of the opening points were significantly longer than those of the closing points and adjunct points （P〈0.05）; for men, their opening and closing points had significantly longer thermal pain threshold latencies than their adjunct points （P〈0.05）; despite the gender, the latencies of the upper limb opening and closing points were significantly longer than the latency of the adjunct points （P〈0.05）; in the female group, the latencies of the lower-limb opening points were significantly shorter than those of the lower-limb closing and adjunct points （P〈0.05）. Conclusion： Based on Fei Teng Ba Fa, the pain thresholds of the eight confluent points vary in different periods of time, gender, acupoint location and opening/closing state, which can be taken as the evidence of making time-based acu puncture-moxibustion prescriptions.展开更多
文摘An attempt study of fine course construction strategy of modern education technology, Starting from the modern education technology professional career goals, while, in curriculum setting, highlights the profession＇ s ＂Normal＂ , and ＂technical＂ and ＂managerial＂ character. And fully reflect the characteristics of higher vocational college and strengthen the ability of students to achieve a to job competency-based, employment-oriented training model. Through the construction of the core curriculum system, cultivating high-quality skilled training objectives Normal talents.
文摘Elaborated the multimedia technologies in the teaching characteristic, definitely multimedia technical superiority at the same time, the union managed by the people university have used the question which in the multimedia technologies appears to propose some improvement method as well as in the multimedia technologies the question which should pay attention in the teaching. Proposed in the modem education media, the teacher reasonably chooses and utilizes the science teaching process through the teaching design which multimedia technical and the traditional teaching method organic synthesis forms, all played to the curriculum and the teaching method reform the positive role. The science uses the multimedia technologies, may avoid the multimedia technologies in classroom instruction application some erroneous zones, the realization teaching effect optimization.
基金Supported by the National Natural Science Foundation of China （60421002） and priority supported financially by ＂the New Century 151 Talent Project＂ of Zhejiang Province.
文摘To overcome the problem that soft sensor models cannot be updated with the process changes, a soft sensor modeling algorithm based on hybrid fuzzy c-means （FCM） algorithm and incremental support vector machines （ISVM） is proposed. This hybrid algorithm FCMISVM includes three parts： samples clustering based on FCM algorithm, learning algorithm based on ISVM, and heuristic sample displacement method. In the training process, the training samples are first clustered by the FCM algorithm, and then by training each clustering with the SVM algorithm, a sub-model is built to each clustering. In the predicting process, when an incremental sample that represents new operation information is introduced in the model, the fuzzy membership function of the sample to each clustering is first computed by the FCM algorithm. Then, a corresponding SVM sub-model of the clustering with the largest fuzzy membership function is used to predict and perform incremental learning so the model can be updated on-line. An old sample chosen by heuristic sample displacement method is then discarded from the sub-model to control the size of the working set. The proposed method is applied to predict the p-xylene （PX） purity in the adsorption separation process. Simulation results indicate that the proposed method actually increases the model＇s adaptive abilities to various operation conditions and improves its generalization capability.
文摘Objective： By applying moxibustion to the eight confluent points in different periods of time, to observe the changes in thermal pain threshold latency of acupoints based on Fei Teng Ba Fa. Methods： A total of 468 healthy college student volunteers received moxibustion at the eight confluent points in three different periods of time, i.e. Chen （7：00-9：00）, Wu （11：00-13：00） and Xu （19：00-21：00）. The thermal pain threshold latency was adopted to measure the changes in pain threshold of the eight confluent points under different conditions （different periods of time, different genders, different acupoints and different states of the acupoints） based on Fei Teng Ba Fa. Results： Finally, thirty subjects dropped out and 438 subjects were included. The comparison of thermal pain threshold latencies of the eight confluent points in the same opening or closing state based on Fei Teng Ba Fa： latencies of the closing points and adjunct points were significantly different in different periods of time （P〈0.05）, the latencies of the males were significantly longer than those of the females （P〈0.05）; there was no significant difference in the latency between the left and right sides （P〉0.05）; in the female group, there was a significant difference in the latency between the lower-limb points and the upper-limb points （P〈0.05）. The comparison of thermal point threshold latencies of the eight confluent points in different opening or closing state： in the period of Wu （11：00-13：00）, the latencies of the opening points were significantly longer than those of the closing points and adjunct points （P〈0.05）; for men, their opening and closing points had significantly longer thermal pain threshold latencies than their adjunct points （P〈0.05）; despite the gender, the latencies of the upper limb opening and closing points were significantly longer than the latency of the adjunct points （P〈0.05）; in the female group, the latencies of the lower-limb opening points were significantly shorter than those of the lower-limb closing and adjunct points （P〈0.05）. Conclusion： Based on Fei Teng Ba Fa, the pain thresholds of the eight confluent points vary in different periods of time, gender, acupoint location and opening/closing state, which can be taken as the evidence of making time-based acu puncture-moxibustion prescriptions.
