In intelligent computing services， data analysis and processing are provided for the service consumer by the service provider through Internet， and a learning model is established to complete intelligent computing function. Due to the lack of effective communication channels between service providers and service consumers， as well as the fuzzy and messy requirement descriptions of the service consumer feedback， there is a lack of a unified service requirement acquisition method to effectively analyze， organize and regulate the continuously changing requirement of users， which leads to the failure of intelligent computing services to make a rapid improvement according to the user’s requirements. Aiming at the problems of continuity and uncertainty of requirement changes in service development， a requirement acquisition method for intelligent computing services was proposed. The application feedback and questions of intelligent computing services were firstly obtained from Stack Overflow question and answer forum. Then， the knowledge classification and prioritization were performed on them by using different learning models （including Support Vector Machine （SVM）， naive Bayes and TextCNN） according to the types of requirements concerned by the service consumer. Finally， a customized service requirement template was used to describe the requirements of intelligent computing services.

To improve the performance of recognition system which is influenced by the change of vocal effort, in the premise of a small amount of whisper and shouted speech data in training speech data, Maximum A Posteriori (MAP) and Constraint Maximum Likelihood Linear Regression (CMLLR) were combined to update the speaker model and transform the speaker characteristics. MAP adaption method was used to update the speaker model of normal speech training, and the CMLLR feature space projection method was used to project and transform the features of whisper and shouted testing speech to improve the mismatch between training speech and testing speech. Experimental results show that the Equal Error Rate (EER) of speaker recognition system was significantly reduced by using the proposed method. Compared with the baseline system, MAP adaptation method, Maximum Likelihood Linear Regression (MLLR) model projection method and CMLLR feature space projection method, the average EER is reduced by 75.3%, 3.5%, 72%, 70.9%, respectively. The experimental results prove that the proposed method weakens the influence on discriminative power for vocal effort and makes the speaker recognition system more robust to vocal effort variability.

For the differences between Virtex-5 RocketIOTM GTP and Virtex-6 RocketIOTM GTX adjustments should be made on pre-emphasis/de-emphasis values and reception equalization values,the receiving terminal voltage and differential voltage transmission values, so as to adapt to the data communication between GTP and GTX. By using ChipsCope Pro_IBERT to measure the actual communication parameters to set GTP/GTX transceiver side, this paper defined the data frame structure through custom communication protocol, and designed a new RocketIO data transceiver interface controller. By analyzing the phenomenon of byte misalignment caused by some uncertainty such as high frequency instability, and clock drift, this paper added a data misalignment correction module in custom communication protocol, thus greatly reducing the error rate of data transmission. The experimental results show that high speed serial communication between Virtex-5 RocketIOTM GTP and Virtex-6 RocketIOTM GTX can be implemented, and the data transceiver interface controller is of data transmission stability, low bit error rata and good generality.

The FP-Growth algorithm, based on FP-Tree, needs to create a large number of conditional FP-Trees recursively in the process of mining frequent patterns. It is not efficient and not good to apply in mobile communication business cross-selling, in which the association rules mining is business-constraint. Therefore, an items-constraint frequent pattern tree ICFP-Tree and a new ICFP-Mine algorithm which directly mines in the tree were proposed. Theoretical analysis and experimental results show that the ICFP-Mine algorithm is superior to FP-Growth algorithm in memory occupancy and time costs. It has achieved better results in the field of mobile communication business cross-selling applications.