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A new method for automatic air collision avoidance system based on geometric has been designed in this paper to solve automatic collision avoidance with non-cooperative emergence dynamic obstacles. Firstly, the problem of automatic air collision avoidance is described based on geometric collision-cone approach, the condition of obstacles detection and collision detection is derived. Use strategy set of collision avoidance as index inputs. The automatic collision avoidance algorithm is designed based on relative position vector and relative velocity vector. Numerical simulations are performed to demonstrate the feasibility and effectiveness of the proposed method.

A robust control method for super-maneuver flight based on the adaptive observer has been designed in this paper to solve the uncertainty of aerodynamic parameter, external disturbance and model error. The discontinuous projection adaptive law is adopted in the fast and slow loops to online estimate the uncertainty of aerodynamic parameter. The external disturbance and model error are observed and compensated by the adaptive observer which designed by applying the adaptive law in the general observer, and then Lyapunov function is selected to analyze the stability of whole system to obtain final control signal. The digital simulation of super-maneuver flight proves that the controller can effectively resist interference caused by the uncertainty of aerodynamic parameter, external disturbance and model error, and enhance the robustness of the system.

Considering the uplink of the multiuser STBC system, a joint detection algorithm is applied at the base station in order to reduce the design complexity of mobile station. In the frequency selective fading channels, the performance of conventional DS-CDMA system suffers from multiple-access interference and intersymbol interference caused by multipath propagation. To cope with multipath channels while still benefiting from the space-multipath diversity, a new air interface that combines STBC with SC-CDMA is proposed. The expressions between the transmitter and receiver of the system are deduced in detail. The vector model between the transmitter and receiver is established. Simulation results show that the system could reach the maximum spatial diversity gains with single user and single path. When the channel has two paths, although the full spatial multipath diversity gains cannot be achieved, higher diversity gains are available. When there are multiuser activated under the frequency selective fading channels, multi antennas at the receiver can help to achieve the diversity gains as same as single path.

Based on distributed radar and phased-array radar, put forward distributed phased radar system. The transmission and reception models of distributed phased-array radar system are given; Radar detection performance formulas are derived based on binary hypothesis testing and Neyman-Pearson criterion; under the different SNR, detection performance of radar system with different number of station and antenna is analyzed; simulation results demonstrate the effectiveness of the proposed method.

With expansion of university enrollment, the number of students increases every year, and information of their courses, scores and normal performance records also shows rapid expansion. More and more data of undergraduates have to be stored in database or data warehouse with the capacity increasing. It is difficult for teachers to finish comprehensive evaluation of over ten thousand students at the same time with the traditional methods of average scores, weighted average marks or Grade Point Average. The traditional ways are of some disadvantages of large error propagation, close results, small discrimination, low efficiency and poor scalability when facing mass assess data. Therefore, a new comprehensive evaluation method based on data mining of database or data warehouse of undergraduates is proposed. The method is carried out by decision tree algorithms. The results of case reveals that the decision tree algorithms of data mining technology can distinguish between the merits of the level of university students and realize the classification comprehensive evaluation, and the problem that the traditional methods are not fit for the student assessment of too much records and mass data is solved. The new method is of greater efficiency. It's an effective complement to traditional evaluation methods.

In view of the problems of mass information and the structural imbalance of supply and demand in talent markets, an analysis method of talent market is proposed based on data mining theory. Multitudinous online recruitment information of job market is collected. Databases and multidimensional data sets are established. Constructing employment fact table and dimension table of a star model, data mining and results analysis are carried out. Example shows that data mining results can intuitively provide effective decision support for employers, graduates and university.

For many minor chain supermarkets, most data warehouse products are too expensive to purchase to solve the development bottleneck of cumulative and massive data that database can not store. Shop assistants in chain stores often operate data warehouses difficultly for foreign language and technical obstacle. So, it is essential to customize and design data warehouse for them. The results show that data resource of retails records can be fully utilized with effective decision support by the data warehouse, which promotes sales greatly.

In the work, a kind of low power, multi-parameter composite fire detection node is designed, which can detect temperature, smoke concentration and CO gas concentration. And combining with the WSN (wireless sensor network), a real-time wireless fire monitoring system is established. This system is applied in fire detection of special circumstance represented by the ancient buildings. The hardware and software implementation is based on 2.4GHz wireless communication chip CC2430. ZigBee protocol is adopted in the system to form reliable wireless communication. The result of experiment shows that the sensor nodes can connect each other and form net automatically and the system works effectively and stably in wireless fire detection.

Psychologists of recent years have made plenty of researches on emotional theories and emotional adjustment methods. However, directly copying foreign research results outside of China possesses some limitations because of China's special situation and culture, and using foreign theories and methods directly can hazard Chinese entrepreneurs' health. This paper analyzes the concept differences between 'emotion' in modern psychology and 'Qingzhi' in TCM (Traditional Chinese Medicine) psychology. According to the harmony ideas which comes from the five-element theory in TCM, this paper also points out the unstably harmony is the phenomenon of imbalance emotion. Using five zhi, five flavors and five music elements therapy methods, originated from huang di nei jin, to adjust qingzhi, clarifies the aim and schemes of Qingzhi adjustment, which can be selected systematically. It supplies a method to adjust Qingzhi by oneself or to adjust emotion from inner or outer side; moreover, a maths model, applied to decision-making theory, is established to choose a best scheme from several kinds of therapies of Qingzhi troubles.