Advanced Materials Research Vols. 143-144

Abstract: In this paper, the problem of HR outsourcing providers evaluation is studied. Based on Extended Ordered Weighted Averaging (EOWA) operator, an approach of multi-criteria decision making with linguistic preference information is introduced to the problem. An illustrative numerical example is also provided to illustrate the feasibility and practicality of the proposed approach.

Abstract: In this paper, based on theoretical research and empirical investigation, an index system is created for the evaluation of express companies’ emergency logistics capability from three types of capabilities, namely, emergency decision-making, implementing emergency plans and information assurance, by taking into consideration the characteristics of emergency logistics of express companies. In the issue of weight determination of the indices, given the subjectivity caused by individual evaluation, the approach of group decision making by multi-experts is introduced, which is the combination of we have introduced a group decision-making approach, that is to combine identically scaled weighting of judgment matrix and clustering weight determination. Multi-level fuzzy comprehensive evaluation method is chosen to evaluate express companies’ emergency logistics capabilities.Through empirical study, the validity and practicability of the index system and the evaluation method are both confirmed(verified).

Abstract: The development of e-commerce has had a significant influence on the index system, methods and process of supplier selection for companies. By considering comprehensively the features of supplier selection in the e-commerce environment as well as the traditional index system, the indices for supplier selection can be determined as supplier flexibility, supplier credit, product quality, informatization degree and supply ability.Based on intuitionistic language aggregation operators, the intuitionistic language sets are applied for selecting and evaluating suppliers, and the scientific nature of this decision-making process of selection of suppliers is then verified through empirical studies. It is necessary to further enrich and improve the index system and methods of supplier selection in the future according to features of companies from different industries and with different background.

Abstract: To prevent decorative textiles from fires, forty seven fabrics sampled from the Potala Palace were first identified by burning and optical projection microscope tests. The main component fibers were figured out to be cellulose fiber (viscose, most much used), synthetic fibers (polyethylene terephthalate, polyamide and polypropylene, secondly much used) and protein fibers (silk and wool, a little used). The five warp and weft blending forms were found to be: Polyethylene Terephthalate and Polyethylene Terephthalate, (Polyamide or Polyethylene Terephthalate or Silk or Viscose or Wool) and Viscose, Viscose and Silk, (Polyethylene Terephthalate or Polyamide) and Polypropylene, Viscose and Polyamide. Such identification work has been done academically for the first time, and it is important for the safe conservation of special Tibet historical buildings and internal cultural relics.

Abstract: Direct laser deposition shaping is a state-of-the-art rapid prototyping technology. It can directly fabricate metal parts layer-by-layer without any die, mold, fixture and intermediate, just driven by the laminated CAD model. Accordingly, how to improve the quality of as-formed parts becomes an urgent issue in this research field. It is well known that as for the hot working, the heat history can generate enormous influence on the microstructure and mechanical properties of the parts. Due to the large quantity of heat introduced by laser fabrication process, it is necessary to build a temperature measuring platform to realtime monitor and control the temperature field in the laser fabrication process. As a result, such platform was created to communicate with computer by the temperature data collecting module and interface standard converting module, and achieved the temperature acquisition in the serial communication process through the Microsoft programming software. The experimental result proves the validity of the platform, which can provide effective boundary condition and experimental verification for the numerical simulation. In addition, the desirable temperature distribution can be obtained through the realtime process monitoring and effective parameter adjusting.

Abstract: This paper presents a novel and fast scheme for signal denoising by using Empirical mode decomposition (EMD). The EMD involves the adaptive decomposition of signal into a series of oscillating components, Intrinsic mode functions(IMFs), by means of a decomposition process called sifting algorithm. The basic principle of the method is to reconstruct the signal with IMFs previously selected and thresholded. The denoising method is applied to four simulated signals with different noise levels and the results compared to Wavelets, EMD-Hard and EMD-Soft methods.

Abstract: This paper proposes a perceptually optimized UDP-lite protocol for streaming the 3D model over lossy wireless network. Before the transmission, the model is divided into perceptually important data and less perceptually important data and constructed into a progressive representation. And then, the progressive model is streamed by the modified protocol based on the UDP_lite protocol. The simulation results demonstrate that end-to-end delay has significant improvement and the graphics quality has no apparent degradation.

Abstract: Hopfield and Tank have shown that neural networks can be used to solve certain computationally hard problems, in particular they studied the Traveling Salesman Problem (TSP). In this paper,on the base of the analysis of tradiontial methord,introduced an improved algorithm for TSP Problem Solving with Hopfield Neural Networks.We found the accuracy of the results depend on the initial parameters to a large extent, discussed how to set initial parameters properly; analysed the internal relationship between the terms in energy function, and improved the energy function. Used a fixed starting point to eliminate the equivalent solution problem,and the number of neurons is reduced from the N2 to (N-1)2. The improved algorithm reduced the unnecessary equivalent solution in calculate process, enhanced the computational efficiency. Experiment results showed that the algorithm improved the speed and the convergence.

Abstract: Thermoelectric Generator is a device using the widespread natural temperature to generate electricity. On the basis of investigations and experiments, this paper fully expounded thermoelectric generator’s significance, system block diagram, circuits, operational principle, application foregrounds and etc. Semiconductor thermoelectric module and the controller compose the thermoelectric generator, semiconductor thermoelectric power modules change heat energy into electric energy, the electric energy is stored in the controller's battery by the charging circuit. The controller has many functions such as current limiting, under voltage and other functions. At the same time, we had also designed the step-up circuit, in this way, the thermoelectric generator can output higher voltage. The experiment results and application show the thermoelectric generator has good performance and powerful function, it is worth spreading.

Abstract: Artificial immune systems (AIS), inspired by the natural immune systems, are an emerging kind of soft computing methods. This paper brings forward an immune-inspired quantum genetic optimization algorithm (IQGOA) based on clonal selection algorithm. The IQGOA is an evolutionary computation method inspired by the immune clonal principle of human immune system. To show the versatility and flexibility of the proposed IQGOA, some examples are given. Experimental results have shown that IQGOA is superior to clonal selection algorithm and Genetic Algorithm (GA) on performance.