Soil moisture is a vital land surface variable that can influence climate change. Many problems in soil moisture data require the identification of signals obscured by anthropogenic external forces (including greenhouse gases such as CO2 and aerosol radiative force), natural forces (such as volcanic and solar activity), and internal variability (such as ENSO, NAO, and PDO). Although artificial neural networks (ANNs) have been widely studied in making accurate predictions, the studies of interpretation of ANNs in soil moisture are still rare. Hence, the proposed method aims to assist in the study of interpretating soil moisture data. Specifically, first, an ANN model is trained to predict the approximate year of the simulations by identifying the spatial patterns of qualitative changes in soil moisture. After accurately predicting the approximate year, the spatial patterns in the ANN model, acting as “reliable indicators” of the force changes, are the different natures of regional signals. Then, the simulated data and Soil Moisture Active and Passive (SMAP) observations are fed into the trained ANN separately, and the specific differences are observed by the Deep Taylor Decomposition (DTD) visualization tool. By comparing with the standard multiple linear regression method, the results of the ANN model can provide the reliable indicators of change for a specific year, thus providing meaningful information from the ANN model according to the common soil moisture data. The results show that a large correlation exists between eastern Asia and western North America during the 21st century, and the correlation increases with time in Australia. This also reflects the strong force signal due to a combination of anthropogenic and external forces that has played a role in soil moisture over the decades and can clearly discern the differences between model simulations and observed data. This study indicates that the proposed method using ANNs and visualization tools enables relatively accurate predictions and the discovery of unknown patterns within soil moisture data.

The global manufacturing model is changing, and the manufacture of precision box parts is developing in the direction of automation and flexibility. Through the application of the information integration management module, integrated device information is collected to develop the system operation plan, which is transferred to the logistics management module and converted into control information executable by the processing module. Finally, the flexible machining of precision box parts is automatically implemented. Through the dynamic scheduling optimization strategy based on filtered directed search, the dynamic scheduling of system processing is completed. The machining target segmentation method based on symmetric differential algorithm is used to accurately extract the contour information of the precision machining target of the box. This process is the working principle of the precision boxlike flexible manufacturing system based on the symmetric differential algorithm designed in this paper. The results show that the system can effectively reduce the number of marks and the maximum completion time of the processing of precision box parts, and its balance ability and processing efficiency are fast.

中国少数民族文学虽然一直伴随着各个民族的历史,但直到1949年统一的多民族国家建立之前,"少数民族文学"并未因其历史的客观存在而生成一种知识,或者作为表述国家文学历史及现象的核心概念被命名和建构.因此,考察中国少数民族文学构造史,具有重要的学术意义.

本文通过分析计算机应用课程实习实训环节出现的问题,对计算机应用课程实习实训内容进行调整和优化,提出以技能竞赛为导向的计算机应用课程实训实施方案,通过组织学生参加技能竞赛,提高他们的计算机应用能力,以促进计算机应用课程实习实训环节的改进与发展,为进一步深化教学改革打下良好基础.

This article has been key issues in the automatic transcription of speech automatic review ways to make a simple introduction. In the letter, the language of text to speech (text to speech, TTS) and automatic speech recognition systems (automatic speech recognition, speech recognition) system, the practical application, due to the emergence of new words and many proper nouns collection, storage difficulties pronunciation dictionary does not exist is often encountered, need these words automatic transcription. On this basis, gives an automated voice system implementation, impact on performance, some technical details of the analysis system and method are given hand-written on the comparison of experimental results show that under the rules, significantly better than the latter.

This paper analyzed the problems in C language teaching,discussed the adjustment and optimization of teaching content and the improvement of teaching link,and compared the learning state and outcome of students before and after improvement in order to lay a solid foundation for the further teaching reform.

voice conversion is based on the combination of proposed independent target speaker pitch between the source of the transfer Because, although the conversion is in the field by modifying the residual signal IoSE Time interval to achieve, it is not on cloud / unvoiced decisions need And make the same silent treatment, which, in the expression part of the, IoSE Equivalent pitch information, and in the silent period.

Based on fuzzy mathematics gained considerable development in the theory and application have achieved fruitful results impressive. Applications of fuzzy mathematics has been related to automatic control, image and text recognition, artificial intelligence, geology, seismology, medical diagnostics, weather analysis, aviation, aerospace, ship train car to drive, traffic management, decision evaluation, business management and socio-economic many aspects.

This paper analyzes the principle of hierarchical reconstruction on the impact of the robot image recognitions given to the affine point from the image reconstruction of the corresponding instance of calculated measures, which to some extent is a measure of the corresponding affine point reconstruction needs of the most basic structural information, such as the measure of similar objects based on reconstruction, metric reconstruction of specular reflection based, reconstruction based on the measurement of moving objects, and based on hidden consumption point (line) of the metric reconstruction to improve image clarity.

Taking the embedded Linux as an example,this paper analyzes the Real-time Embedded Operating System from the perspectives of real-time,custom-made and reliability.The application of the operating system in system kernel,memory management and network interface is studied,and the characteristics of the system are analyzed.

Data compression takes a very important role in the computer data storage applications and embedded systems. In this article, Huffman algorithm is put forward as popular lossless data compression method and an in-depth study. Some amelioration in Huffman algorithm is used on the theory, and applied on embedded systems (sitronixST2221C) features as actual demand, considering the data compression of some important indicators, such as: compression ratio, operation speed, the algorithm, the complexity to find a suitable compression algorithm, the optimized and applied to new products.

Today,robots are becoming more and more intelligent and humane.The interaction is the most effective,most commonly used and most convenient form of information exchange between robots and humans.The design of interactive robots is an inevitable trend in scientific development.

A crankshaft system dynamic model for a 2.0L high speed direct injection car diesel engine was established,which was used for crankshaft torsional vibration analysis,bending vibration analysis and fatigue strength analysis.The results indicated that torsional vibration and bending vibration of this crankshaft assembly complied with design requirement and no torsional resonance occurred,the maximum torsional vibration angle is lower than 0.2°,and the minimum high-frequency fatigue safety coefficient is 1.324 at the front-end single order at rated speed,this diesel engine has good dynamic property and complied with operating requirement.

With the wide application of computer network technology,the destruction behavior by hackers is increasing in the network,which makes the network security become the problem to be widely concerned and urgent solved.Starting from the intrusion detection system,this paper deeply studied DoS/DDos attacks,which lived for the most years and had the greatest destructive power,in order to find out defending methods and reduce the harm of it.

Inscriptions on bronze objects began in the Song Dynasty, but focused on the description of Inscriptions. Scholars began to focus on writing inscriptions and Examination of research in especially late Qing Dynasty, after 1949, scholars expanded the scope and depth of further expansion, Inscriptions on bronze Grammar systematic studies began. The direction of research focused on five aspects: 1, Inscriptions on bronze grammar study, 2, parts of speech research, 3, syntax and word order research, 4, grammar History Research, 5, Inscriptions on bronze Selected Works of dictionaries and books.

文章介绍了蚂蚁算法,应用蚂蚁算法的原理来评价考试系统的试题,以其提高试题的质量,实现了预期的目标。

Spatial Clustering is a research topic in clustering.Clustering is one important branch of data mining.In this paper,two spatial clustering methods,BIRCH algorithm and Wavecluster algorithm are remarked,which are applied in precision fertilization.On the basis of comparison,the analysis of the two methods is put forward in the application of precision fertilization.