中南大学学术英语Chapter-6-writing-about-result.ppt

1、Chapter 6 Writing about results,School of Information Science and Engineering CSU,Functions of results sentences,Verb tense in Results sections,Outline,General description,1,authors write the most important findings the findings will form part of the Discussion section.,In writing sentences about re

2、sults:,only highlight the main points,dont repeat results in tables or figures,General description,Effective authors,Published advice from editors When the sentence focuses on the document,12,SA: In this simulation study, QoS metrics end-to-end delay, jitter and packet loss are collected and analyze

3、d. End-to-end delay is the latency between the source and destination which directly affects user satisfaction. Packet loss rate is the percentage of packets which failed to reach the destination.,Modal verbs (e.g. may and could) may be used in comments, especially in clauses,13,SA: For an ideal sys

4、tem, jitter should be zero, which means there should be no delay variation in the time for the received packets. Ideally, there should be no packet loss for VoIP14. In these sentences, should is inappropriate in a SA.,Choose one subsection of the Results section in your SA. Answer the following ques

5、tions and discuss your findings with a colleague. For each verb in the subsection, why do you think the author(s) chose to use the tense they did? Do the authors use tenses in the ways discussed in the section above? If not, what reasons can you suggest? Hint: Example papers from your own discipline

6、 provide the most accurate guidelines for you.,14,Task 6.3 Analyzing your SA Results section for verb usage,Suggestions: Impossible to write a book accurately To give you tools and questions to analyze To refine the guidelines making them accurately,15,Begin to draft a Results section for your own p

7、aper (OA), writing about the tables or figures you have worked on previously.,16,Task 6.4 Drafting your own Results section,Research of brain-computer interface based on multi-feature integration and BP neural network,4 Experiment and result analysis 4.1 Design of experiment system The EEG acquisiti

8、on system structure as shown in Fig. 2, the recovery of EEG signal acquisition electrode, through the amplifier amplification of weak signals, filter interference, and then through the AID conversion for digital signal processing is sent to the host computer via bluetooth. 4.2 Experimental condition

9、s and methods The electrode position is placed in accordance with the Montreol method and the international standard lead 10 - 20, as shown in figure 3. The electrodes were placed on the prefrontal cortex of the subjects to collect Alpha waves, and the arrows referred to the electrode placement, and

10、 the ear clamp used as the reference electrode was clipped on the left and right lobes. In order to ensure the accuracy of data acquisition, this study uses Shure special grid method, before the experiment, the subjects attention to a large number of training. 4.3 Experiment process The experimental

11、 subjects were male youth, healthy, corrected vision normal, right handedness. The lab is quiet and room temperature is normal. Electrodes for EEG acquisition using dry electrodes.,Before collecting the experimental data of EEG, the Alpha wave blocking experiment should be performed to verify the co

12、rrectness of the acquisition of Alpha waves in EEG signals, as shown in Fig. 4. In the experiment, the subjects performed the motor imagery task according to the experimental paradigm shown in Fig. 5. Half an hour before the start of the experiment, the subjects left the actual movement sensation in

13、 the brain through the actual movement of the left and right hands and left and right legs. In the experiment, the subjects sat in a comfortable chair, relaxed naturally, and completed the movement imagination of the left hand, right hand, left leg and right leg according to the screen prompt. 4.4 D

14、ata processing and results The time of each motor imagery data was 30 s, and the sampling rate was 512 Hz, and the original data (Raw data) was shown in Fig. 6. First the original data into the band pass filter, filter out the Alpha wave, and then enter the 50 Hz notch filter, filter the power line interference, and finally wavelet packet de-noising, so that the data can better process. The filter