Earticle

The interior design of living space is important for improving the visual perception of people and the living quality, therefore the application of the grey system theory on evaluating the interior design is studied in depth. Firstly, the main contents of interior design for the living space are summarized. Secondly, the basic theory of grey system theory is studied. Thirdly, the evaluation index system of interior design of ling space is established according to the actual situation of the interior design of living space. Finally, a case study is carried out using 10 interior design plans as evaluation objectives, and the quality of every interior design is obtained based on the grey system theory.

Because of the nonlinear characteristics of the BTP in sintering process, the BTP forecasting is difficult to realize. The LS-SVM was employed in this study for forecasting. However, Because SVM is using the two programming support vector, computing and solving two quadratic programming will involve matrix of order m, when the M number is large storage and computing the matrix will consume a large amount of computer memory and calculation time. The traditional training methods based on searching technique are not effective and fast. Therefore, bacterial foraging optimization (BFO) was adopted to optimize the LS-SVM. BFO is a novel and powerful global search technique, It is found that Bacteria Foraging Algorithm (BFO) is capable of improving the speed of convergence as well as the precision in the desired result. Simulation results clearly illustrate that the proposed approach is very efficient and could easily be extended for other global optimization problems. It can conclude that BFO is effective and rapid for the cluster analysis problem.

The vehicle routing problem (VRP) is one of the most challenging problems in the op-timization of distribution. Genetic algorithm (GA) has been proved capable of solving VRPs. However, the resolution effectiveness of GA decreases with the increase of nodes within VRPs. It often appears premature convergence or poor ability of local search. In this paper, a hybrid genetic-monkey algorithm (HGMA), integrating monkey algorithm (MA) into genetic algorithm framework, is proposed to overcome the shortcomings above. Monkey climbing (A novel climb process is designed for VRP with discrete variables.) and somersault processes improve ability of local and global search. Furthermore, flexi-ble fitness function, through which infeasible solutions are allowed, are developed to ex-pand the search space. The experiment results indicate efficiency of the proposed algorithm.

In this paper, we illustrate a 0.4Tb/s full rate 2:1 MUX. In order to suppress the dilapidation of signals and to increase the operation speed, we designed interconnection for the circuit using self controllable voltage level (SVL) techniques. The circuit shows rise and fall times of about 100fs and consumes 0.5nW. The CMOS logic, such as SVL logic is renewed in this design. The designed circuit is realized in a standard 45nm process and uses 0.7V supply voltage. Our optimization technique using the proposed method reduces power consumption and leakage current by significant amount of multiplexer circuit. The same techniques and architectures are applicable for more advanced semiconductor technologies to push the speed even further.It is easy to tell that our 2:1 MUX attain the highest datarate 0.4Tb/s without increasing much power consumption as compared the data rate 50Gb/s and power to previous work.

Geological disasters such as rock burst coal and gas outburst in coal mines have inevitable link with micro-seismic phenomenon intrinsically. Monitoring the underground microseismic signals could determine the scope and extent of the underground rock and provide strong evidence for underground mine safety monitoring. A microseismic real-time monitoring system design based on virtual instrument was presented, using thirty two channels front microseismic signal processing unit, data acquisition card DAQ-6343, realizing multi-channel analog microseismic signals acquisition, achieved a real-time monitoring and analysis of microseismic signals combined with the microseismic method and improved adaptive wavelet transform processing algorithms in the LabVIEW platform. System monitoring results agree well with the actual mine earthquake, the error of obtained positioning results is small, realizing a real-time microseismic monitoring and analysis.

This paper is an overview of metal detection using PLC and SCADA. The main aim of the paper is to explain the functioning and working of metal detection in the industry and separation of non-defective metal pieces using robots. The main principle behind the project is its automatic control using a device called PLC. Also, in this project, the hardware model is interfaced with the software model, SCADA for better control and supervision.

In an electronic cash scheme, there are three participants, the bank, the spender and the merchant. First, a spender opens an account in a bank. Then, he withdraws electronic cash from his account and pays it to a merchant. After checking the electronic cash’s validity, the merchant accepts it and deposits it to the bank. There are a number of requirements for an electronic cash scheme, such as, anonymity, unforgeability, unreusability, date attachability, divisibility, transferability and portability. In this paper, we show a recently proposed electronic cash scheme is suffering from some faults in anonymity, expiration date and merchant frauds. To improve the scheme, we propose a new untraceable off-line electronic cash scheme and give a security analysis for it.

From the perspective of modern cognitive science, firstly the theoretical model of network teaching is analyzed, and then an individualized network teaching model based on intelligent agent technology. Finally, implementation strategies of individualized network teaching will be discussed.