A reconfigurable optical logic unit that can execute any binary logic and arithmetic operation on the same hardware with different configurations is proposed. The design, based on cascaded terahertz optical asymmetric demultiplexer switches, introduces reconfigurability with the help of electro-optic switches. The model is simple and practicable.

The graphite reinforced aluminum matrix composites were prepared by using stir-casting in this paper, with bulk alloy of ZL111, reinforcement of graphite particles coated with oxide, and the friction behavior was investigated perfectly. The results indicated that, the aluminum matrix composites reinforced with 6 wt.% graphite particles coated with oxide have a good property of self-lubrication under the condition of dry friction with a pressure of 40 N, a relative rate of 2.62 m/s of frictional backing gear, a wear time of 60 min, in addition, the friction factor and the wear capacity of the graphite / aluminum matrix composites were less than those of bulk alloy. Moreover, the friction factor and the wear capacity of the graphite / aluminum matrix composites decreased with an increase in mass fraction of the graphite coated with oxide, and the friction factor of composites became bigger while the fraction of the graphite particles was over 6wt.%.

In the process of constructing decision trees, the selecting criteria of classification attributes will directly affect the classification results. Here we presented the classification contribution function (CCF), a new concept based on rough sets theory, which is regarded as the criteria for choosing attributes in the core of attributes. The basic idea of CCF is using of discernibility matrix to determine attribute core (if there is no core, using its reduction). Then through the classification contribution function to determine core classification contribution value and employ the big value as node. Next employing the selected attribute ways to divide decision-making system and each value attribute can produce a subset. The experiments show that, being compared with the entropy based C4.5 and weighted mean roughness, our method can get simpler decision tree and improve the efficiency of classification.

RFID (radio frequency identification) chips are usually called electronic volume label or radio frequency volume label. Now a new transponder is developed and it can accurately measure the surroundings pressure, temperature and humidity. Besides, it can complete the function of sensor by combining with RFID chips, which make the transponder can monitor the change of pressure, temperature and humidity and this information can be sent to reading device through RFID chip. This paper combines this technology and fire alarm system to prevent fires. This system connects RFID chips CC2430 sensor with each temperature sensor DS18b20. DS18b20 is placed in the area needed to be monitored according to certain order, and the single way is employed to connect every CC2430 module. The temperature sensor DS18b20 and its connection with CC2430 chips hardware are very practical and simple. We combine its address line, control line, and data line into one signal line which can be controlled individually and just needs CC2430 1 root I/O lines.

Along with the development of information technology, the information security of power industry is becoming an important problem in the stability of power systems. In order to solve the key distribution problems of feeder automation system, a key agreement and mutual authentication scheme based on elliptic curve cryptograph techniques is proposed. The mutual authentication and agreement on a secure session key is realized, between feeder terminal unit (FTU) and regional substation. By using the ECC techniques, greater security with fewer bits is provided. As the result, the requirement of bandwidth is decreased, furthermore, computational burden and storage requirement is also lowered on the FTU.