To Promote Scientific and Technological Innovation from Higher Starting Point

The year of 2008 has been a time of achieving major victory besides withstanding enormous challenges for the economic and social development of China. Under the correct leadership of the Party Central

Making Innovation at the New Starting Point

Thirty years ago, Mr. Li Yimang, the veteran politician, social activist and diplomat in China,initiated the founding of the Chinese Association for International Understanding (CAFIU) and served as its first President. Mr. Li Yimang was very appreciative of the late Premier Zhou

Finding Starting Points for Tracing Surface Intersections

To find starting points for all the intersection curves, one of the surfaces is subdivided into some small surface patches. Based on a correlative algorithm of computing the minimum distance of two surfaces, the intersections of every patch with another surface are detected, and starting points are calculated by dichotomy. This algorithm shows superior efficiency in the computational complexity and number of iterations needed. It can be used to determine exact starting points on all possible solution curves between any kinds of parametric sculptured surfaces.

Development of Tibet at New Historic Starting Point——People in Tibet greet Second Serfs Emancipation Day

March 28 of this year is the second Tibetan Serfs Emancipation Day. People of all nationalities in Tibet marked the day by hoisting the national flag and by singing and dancing. Smiles were on every face and a festive atmosphere pervaded the snowcovered plateau region.

A Starting Point for World Harmony

In 2005, China was active in putting forward its new diplomatic proposition of "building towards a harmonious world." In a statement made to the UN Summit on September 15, 2005, Chinese President Hu Jintao formally put forward the concept of "harmonious world," which mainly covers such tasks as cultivating a new security concept and mechanism, making the 21st century one of development for all and maintaining cultural diversity and the world's multipolarization.

Analysis of an Unsuccessful Forecast for a Heavy Rainfall Event in Yingkou

[Objective] The reason for the unsuccessful forecast of a heavy rainfall event in Yingkou was analyzed. [Method] Based on the precipitation data observed by automatic weather stations and MICAPS data, a heavy rainfall Event was studied in Yingkou from 19 July to 21 July in 2010. Then the analysis of an unsuccessful forecasting for the heavy rainfall on 21 July was illustrated by CINRAD-SA data, satellite data and numerical forecast products. [Result] The main reason for the unsuccessful forecast was that the duration of the rainfall was long and inconsecutive. The distribution was uneven. Strong precipitation on 21st was different from the one in previous two durations. It was regional short term strong precipitation. And the forecast difficulty was large; the numerical forecast was unstable and erroneous;strong precipitation occurred in the night on 20th, which was shortly before the strong precipitation in the evening of 21st. This would easily confuse the reporter. Besides, the short term stillness of radar and cloud during this time would form certain disturbance. The focus of rainstorm forecast should based on the numerical forecast instead of element forecast;insisting on situation analysis and taking element judgment as auxiliary;as for strong precipitation forecast, there was large error in numerical forecast and can not be relied. Reporter should report the correct one based on experience. [Conclusion] The study provided reference for the forecast of rainstorm.

Research on Remaining Useful Life Prediction Method of Rolling Bearing Based on Health Indicator Extraction and Trajectory Enhanced Particle Filter

Aiming at the difficulty of mining fault prognosis starting points and constructing prognostic models for remaining useful life(RUL)prediction of rolling bearings,a RUL prediction method is proposed based on health indicator(HI)extraction and trajectory-enhanced particle filter(TE-PF).By extracting a HI that can accurately track the trending of bearing degradation and combining it with the early fault enhancement technology,early abnormal sample nodes can be mined to provide more samples with fault information for the construction and training of subsequent prediction models.Aiming at the problem that traditional degradation rate models based on PF are vulnerable to HI mutations,a TE-PF prediction method is proposed based on comprehensive utilization of historical degradation information to timely modify prediction model parameters.Results from a rolling bearing prognostic study show that prediction starting points can be accurately detected and a reasonable prediction model can be conveniently constructed by the RUL prediction method based on HI amplitude abnormal detection and TE-PF.Furthermore,aiming at the RUL prediction problem under the condition of HI mutation,RUL prediction with probability and statistics characteristics under a confidence interval can be obtained based on the method proposed.

Individual Identification of Electronic Equipment Based on Electromagnetic Fingerprint Characteristics

With the rapid development of communication and computer,the individual identification technology of communication equipment has been brought to many application scenarios.The identification of the same type of electronic equipment is of considerable significance,whether it is the identification of friend or foe in military applications,identity determination,radio spectrum management in civil applications,equipment fault diagnosis,and so on.Because of the limited-expression ability of the traditional electromagnetic signal representation methods in the face of complex signals,a new method of individual identification of the same equipment of communication equipment based on deep learning is proposed.The contents of this paper include the following aspects:(1)Considering the shortcomings of deep learning in processing small sample data,this paper provides a universal and robust feature template for signal data.This paper constructs a relatively complete signal template library from multiple perspectives,such as time domain and transform domain features,combined with high-order statistical analysis.Based on the inspiration of the image texture feature,characteristics of amplitude histogram of signal and the signal amplitude co-occurrence matrix(SACM)are proposed in this paper.These signal features can be used as a signal fingerprint template for individual identification.(2)Considering the limitation of the recognition rate of a single classifier,using the integrated classifier has achieved better generalization ability.The final average accuracy of 5 NRF24LE1 modules is up to 98%and solved the problem of individual identification of the same equipment of communication equipment under the condition of the small sample,low signal-to-noise ratio.

A Graded and Individualized Teaching and Learning method

Taking the programming course as an example,a comprehensive solution for individualized and precise teaching has been proposed.Firstly,graded teaching strategy is performed.The students are divided into three groups according to their base of learning and the degree of acceptance of knowledge.Designed teaching resources are provided for the teaching mode of low starting points and high landing points.Secondly,a process evaluation method combining online and offline has been proposed.An“evaluation-feedback-improvement”mechanism based on the analysis of students’learning data has been adopted.The practice in Harbin Institute of Technology has shown that the proposed method can not only help students achieve individualized learning goals,but also help teachers achieve precise teaching.

A New Model of Scenario Comprehension and Practical Progressive Teaching

Taking Digital Logic Design,a professional foundation course for undergraduates in the School of Computer Science of Harbin Institute of Technology,as an example,we propose a new teaching model of scenario comprehension and practical progressive teaching in response to the many difficult problems faced in undergraduate teaching,such as the change of the teaching target to first-year university students with zero foundation and low starting point,and the compression of class time,while the quality of the course and the quality of student training have to be improved simultaneously.With the help of MOOC to implement blended teaching,effective means such as lowering the threshold,raising interest,building foundation and progressive improvement are adopted to help freshmen challenge themselves and move to a higher starting point.This paper is a useful exploration of the current new model of high-quality teaching in hardware courses for junior undergraduates.

Decoding the architectural theory

Starting from the illustration of the definition and concept of the architectural theory, the author established his unique understanding about the framework of the architectural theory and the innovation of the architectural theory underlined by Chinese characteristics.

Optimised Pattern Recognition for Robotic Weldment Geometry Measuring

Today, automated robot welding of components with low tolerances in series production is state-of-the-art. But turning to small batch production particularly of parts with high tolerances, engineering and construction of automated solutions is just at the beginning of providing economic efficiency. While weld seam tracking is well established for the described problem, geometric recognition of weldments is not yet solved satisfactorily. This paper will present an optimisation approach of a laser sensor guided and programmed robot welding system which was developed within the project ROPROF at the TU Dortmund. With this development, a working prototype of a robot weld system was built by a steel construction company as well as additional demonstration software showing the potential and transferability of adjusted geometric location of weldments for industrial applications.

Four Points toward the Understanding of Egypt’s Foreign Relations

To understand and perceive the foreign relations of contemporary Egypt,the focus must be placed on four essential starting points,namely,geography,interests,the Cold War and the leaders of Egypt.As the basis of Egypt’s foreign relations,the geography of Egypt determines fundamental directions of Egypt’s foreign relations:the Arab world,Israel,great powers,Europe and Africa.Although safeguarding national interests is the fundamental starting point in Egypt’s foreign relations,the national interests of Egypt have different points of emphasis at different times.Additionally,Egypt still bears the mission of protecting the interests of the Arab nation.As the international background of Egypt’s foreign relations before the 1990s,the Cold War had great impact on many aspects of Egypt’s foreign relations;the United States and the Soviet Union were top priority in its foreign relations during that period of time.Under the unique political mechanism,Egyptian leaders have supreme power in foreign policy decision-making and Egypt’s foreign relations are branded with a mark of personal traits of Egyptian leaders.Despite the recent Egyptian political mutation,geography,interest and leaders are still the basic focus of external relations of Egypt,so Egyptian diplomatic pattern is unlikely to have dramatic changes.

A Superlinearly Convergent Combined PhaseⅠ-PhaseⅡ Subfeasible Method

This paper presents a new algorithm for optimization problems with nonlinear inequality constricts. At each iteration, the algorithm generates the search direction by solving only one quadratic programming (QP), and then making a simple correction for the solution of the QP, moreover this new algorithm needn’t to do searching. The other advantage is that it may not only choose any point in En as a starting point, but also escape from the complex penalty function and diameter. moreover the iteration point will be a feasible descent sequence whenever some iteration point gets into the feasible region. So we call it subfeasible method.Under mild assumptions,the new algorithm is shown to possess global and two step superlinear convergence.